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a.
a element with no attributes.
a element with the specified
attributes.
a element with the specified
attribute and value.
a element with the specified
attributes and values.
a element with the specified
attributes and values.
a element with the specified
attributes and values.
abbr.
abbr element with no attributes.
abbr element with the specified
attributes.
abbr element with the specified
attribute and value.
abbr element with the specified
attributes and values.
abbr element with the specified
attributes and values.
abbr element with the specified
attributes and values.
abbr attribute.
AbstractCharLmRescoringChunker provides the basic
character language-model rescoring model used by the trainable
CharLmRescoringChunker and its compiled version.CommandLineArguments object represents a the
command-line arguments.AbstractDictionary is a dictionary with convenience
implementations of most methods.AbstractDiscreteDistribution provides a default
abstract implementation of discrete distributions.AbstractExternalizer is an adapter for read
resolved externalizables.AbstractHierachicalClusterer provides an adapter
for clustering for hierarchical clusterers.AbstractHmm is an abstract implementation of a
hidden Markov model which manages a symbol table and defines the
basic methods in terms of the symbolic linear probability methods.HmmEstimator may be used to train a hidden Markov
model (HMM).AbstractMatrix implements most of a matrix's
functionality in terms of methods for accessing numbers of rows and
columns and values.AbstractMentionFactory class implements the
mention factory interface using linguistically-motivated abstract
methods.AbstractSentenceModel implements a sentence model
in terms of the method that adds indices to the collection.AbstractVector implements most of a vector's
functionality in terms of methods for dimensionality and values.true if the specified file name has
an acceptable suffix as specified in the constructor.
true if the specified file has an
an acceptable suffix as specified in the constructor.
true for objects returned by the contained
iterator that should be returned by this iterator.
accept attribute.
accept-charset attribute.
accesskey attribute.
acronym.
acronym element with no attributes.
acronym element with the specified
attributes.
acronym element with the specified
attribute and value.
acronym element with the specified
attributes and values.
acronym element with the specified
attributes and values.
acronym element with the specified
attributes and values.
action attribute.
AbstractMentionChain.add(Mention), which may be overridden
by subclasses to carry out additional bookkeeping when
new mentions are added.
true if the set didn't already
contain the element.
AddFeatureExtractor returns feature vectors that result
from summing the feature vectors returned by a collection of
contained feature extractors.true if this classifier automatically adds
an intercept feature to each feature vector.
true if this CRF adds an intercept feature
with value 1.0 at index 0 to all feature vectors.
address.
address element with no attributes.
address element with the specified
attributes.
address element with the specified
attribute and value.
address element with the specified
attributes and values.
address element with the specified
attributes and values.
address element with the specified
attributes and values.
"CDATA".
align attribute.
true if all of the characters
making up the specified string are digits.
true if all of the characters
in the specified range are digits.
true if all of the characters in the
specified array are letters.
true if all of the characters in the
specified array are lower case letters.
true if the specified character sequence
contains only lowercase letters.
true if this spell checker allows
deletions.
true if this spell checker allows
insertions.
true if this spell checker allows
matches.
true if this annealing schedule allows
updates to be rejected.
true if this spell checker allows
substitutions.
true if this spell checker allows
transpositions.
true if all of the characters in the
specified array are punctuation as specified by
Strings.isPunctuation(char).
true if all of the characters in the
specified string are punctuation as specified by
Strings.isPunctuation(char).
true if none of the characters in the
specified array are letters or digits.
true if all of the characters in the
specified array are upper case letters.
true if the specified buffer contains
only whitespace characters.
true if the specified string contains
only whitespace characters.
true if the specified range of the
specified character array only whitespace characters, as defined for
characters by Strings.isWhitespace(char c).
alt attribute.
AnnealingSchedule instance implements a method to
return the learning rate for a specified epoch.applet.
applet element with no attributes.
applet element with the specified
attributes.
applet element with the specified
attribute and value.
applet element with the specified
attributes and values.
applet element with the specified
attributes and values.
applet element with the specified
attributes and values.
ApproxDictionaryChunker implements a chunker that
produces chunks based on weighted edit distance of strings from
dictionary entries.archive attribute.
area.
area element with no attributes.
area element with the specified
attributes.
area element with the specified
attribute and value.
area element with the specified
attributes and values.
area element with the specified
attributes and values.
area element with the specified
attributes and values.
AutoCompleter maintains a dictionary of phrases with
counts and provides suggested completions based on prefix matching
by weighted edit distance and phrase likelihood.axis attribute.
b.
b element with no attributes.
b element with the specified
attributes.
b element with the specified
attribute and value.
b element with the specified
attributes and values.
b element with the specified
attributes and values.
b element with the specified
attributes and values.
true if this model does parenthesis
balancing.
base.
base element with no attributes.
base element with the specified
attributes.
base element with the specified
attribute and value.
base element with the specified
attributes and values.
base element with the specified
attributes and values.
base element with the specified
attributes and values.
BaseClassifier interface specifies a single method for
first-best classification.BaseClassifierEvaluator provides an evaluation harness
for first-best classifiers.basefont.
basefont element with no attributes.
basefont element with the specified
attributes.
basefont element with the specified
attribute and value.
basefont element with the specified
attributes and values.
basefont element with the specified
attributes and values.
basefont element with the specified
attributes and values.
bdo.
bdo element with no attributes.
bdo element with the specified
attributes.
bdo element with the specified
attribute and value.
bdo element with the specified
attributes and values.
bdo element with the specified
attributes and values.
bdo element with the specified
attributes and values.
"B_".
BernoulliClassifier provides a feature-based
classifier where feature values are reduced to booleans based on a
specified threshold.BernoulliConstant implements a Bernoulli
distribution with a constant probability of success.BernoulliDistribution is a multivariate distribution
with two outcomes, 0 (labeled "failure") and 1 (labeled "success").BernoulliEstimator provides a maximum likelihood
estimate of a Bernoulli distribution.big.
big element with no attributes.
big element with the specified
attributes.
big element with the specified
attribute and value.
big element with the specified
attributes and values.
big element with the specified
attributes and values.
big element with the specified
attributes and values.
BigVectorClassifier provides an efficient linear
classifier implementation for large numbers of categories.BinaryLMClassifier is a boolean dynamic language
model classifier for use when there are two categories, but
training data is only available for one of the categories.BinaryMap class implements a map from objects to
integer objects where the only value is the integer with value 1.BinomialDistribution is a discrete distribution over
the number of successes given a fixed number of Bernoulli trials.BioTagChunkCodec implements a chunk to tag
coder/decoder based on the BIO encoding scheme and a
specified tokenizer factory.BitInput wraps an underlying input stream to provide
bit-level input.BitOutput wraps an underlying output stream to
provide bit-level output.BitTrieReader provides a trie reader that wraps a
bit-level input.BitTrieWriter provides a trie writer that wraps a
bit-level output.blockquote.
blockquote element with no attributes.
blockquote element with the specified
attributes.
blockquote element with the specified
attribute and value.
blockquote element with the specified
attributes and values.
blockquote element with the specified
attributes and values.
blockquote element with the specified
attributes and values.
body.
body element with no attributes.
body element with the specified
attributes.
body element with the specified
attribute and value.
body element with the specified
attributes and values.
body element with the specified
attributes and values.
body element with the specified
attributes and values.
Matcher that returns a
constant value if a boolean condition is satisifed and the no-match
score otherwise.border attribute.
Integer
instances to the specified collection, only considering tokens
between index start and end-1
inclusive.
Integer
instances to the specified collection, only considering tokens
between index start and end-1
inclusive.
Integer
instances to the specified collection, only considering tokens
between index start and end-1
inclusive.
BoundedFeatureExtractor provides a lower-bound and
upper-bound on feature values between which all values from a
contained base extractor are bounded.BoundedPriorityQueue implements a priority queue
with an upper bound on the number of elements.br.
br element with no attributes.
br element with the specified
attributes.
br element with the specified
attribute and value.
br element with the specified
attributes and values.
br element with the specified
attributes and values.
br element with the specified
attributes and values.
null
if there are no more objects.
button.
button element with no attributes.
button element with the specified
attributes.
button element with the specified
attribute and value.
button element with the specified
attributes and values.
button element with the specified
attributes and values.
button element with the specified
attributes and values.
CachedMention stores all of the retun values
specified by the Mention interface.CacheFeatureExtractor uses a cache to store a mapping from
objects to their feature vector maps.true if the first character in the
specified array is an upper case letter and all subsequent
characters are lower case letters.
caption.
caption element with no attributes.
caption element with the specified
attributes.
caption element with the specified
attribute and value.
caption element with the specified
attributes and values.
caption element with the specified
attributes and values.
caption element with the specified
attributes and values.
true if this dictionary chunker is
case sensitive.
cellpadding attribute.
cellspacing attribute.
center.
center element with no attributes.
center element with the specified
attributes.
center element with the specified
attribute and value.
center element with the specified
attributes and values.
center element with the specified
attributes and values.
center element with the specified
attributes and values.
ChainCrf<E> class implements linear chain conditional
random field decoding and estimation for input token sequences of
type E.ChainCrfChunker implements chunking based on a chain CRF
over string sequences, a tokenizer factory, and a tag to chunk
coder/decoder.ChainCrfFeatureExtractor interface specifies a method
for conditional random fields to extract the necessary node and
edge features for estimation and tagging.ChainCrfFeatures interface specifies methods for
extracting node and edge features for a conditional random field.char attribute.
SAXFilterHandler.mHandler.
DefaultHandler.characters(char[],int,int) to handle the
characters.
DefaultHandler.characters(char[],int,int).
DefaultHandler.characters(char[],int,int) to handle the
characters.
DefaultHandler.characters(char[],int,int).
TextContentFilter.filteredCharacters(char[],int,int).
CharacterTokenizerFactory considers each
non-whitespace character in the input to be a distinct token.CharLmHmmChunker employs a hidden Markov model
estimator and tokenizer factory to learn a chunker.CharLmHmmChunker from the specified
tokenizer factory and hidden Markov model estimator.
CharLmHmmChunker from the specified
tokenizer factory, HMM estimator and tag-smoothing flag.
CharLmRescoringChunker provides a long-distance
character language model-based chunker that operates by rescoring
the output of a contained character language model HMM chunker.charoff attribute.
CharSeqCounter counter provides counts for sequences
of characters.CharSeqMultiCounter combines the counts from a pair
of character sequence counters.charset attribute.
CharSuffixArray implements a suffix array of characters.checked attribute.
Chunk interface specifies a slice of a character
sequence, a chunk type and a chunk score.ChunkAndCharSeq is an immutable composite of a
chunk and a character sequence.Chunker interface specifies methods for returning
a chunking given a character sequence or character slice.ChunkerEvaulator class provides an evaluation
framework for chunkers.ChunkerFeatureExtractor implements a feature extractor
for character sequences based on a specified chunker.ChunkFactory provides static factory methods for
creating chunks from components.Chunking interface specifies a set of chunks
over a shared underlying character sequence.ChunkingEvaluation stores and reports the results of
evaluating response chunkings against reference chunkings.ChunkingImpl provides a mutable, set-based
implementation of the chunking interface.cite.
cite element with no attributes.
cite element with the specified
attributes.
cite element with the specified
attribute and value.
cite element with the specified
attributes and values.
cite element with the specified
attributes and values.
cite element with the specified
attributes and values.
cite attribute.
class attribute.
classid attribute.
Classification provides a first-best category.Classified represents an object that has been classified
with a first-best classification.Streams.closeQuietly(Closeable) instead.
Streams.closeQuietly(Closeable) instead.
Streams.closeQuietly(Closeable) instead.
Streams.closeQuietly(Closeable) instead.
Clusterer interface defines a means of clustering
a set of input elementsClusterScore provides a range of cluster scoring
metrics for reference partitions versus response partitions.code.
code element with no attributes.
code element with the specified
attributes.
code element with the specified
attribute and value.
code element with the specified
attributes and values.
code element with the specified
attributes and values.
code element with the specified
attributes and values.
codebase attribute.
codetype attribute.
col.
col element with no attributes.
col element with the specified
attributes.
col element with the specified
attribute and value.
col element with the specified
attributes and values.
col element with the specified
attributes and values.
col element with the specified
attributes and values.
colgroup.
colgroup element with no attributes.
colgroup element with the specified
attributes.
colgroup element with the specified
attribute and value.
colgroup element with the specified
attributes and values.
colgroup element with the specified
attributes and values.
colgroup element with the specified
attributes and values.
CollectionUtils class provides static utility methods
for dealing with Java collections.cols attribute.
colspan attribute.
CommaSeparatedValues object represents a
two-dimensional array of strings which may be read and written in
comma-separated-value string representation.CompactHashSet implements the set interface more tightly in
memory and more efficiently than Java's HashSet.Compilable interface specifies a general way in
which an object may be compiled to an object output.CompiledNGramBoundaryLM is constructed by reading
the serialized form of an instance of NGramBoundaryLM.CompiledNGramProcessLM implements a conditional
process language model.CompiledSpellChecker class implements a first-best
spell checker based on models of what users are likely to mean and
what errors they are likely to make in expressing their meaning.CompiledTokenizedLM implements a tokenized bounded
sequence language model.CompleteLinkClusterer implements complete link
agglomerative clustering.Strings.DEFAULT_SEPARATOR_STRING.
Strings.DEFAULT_SEPARATOR_STRING.
ConditionalClassification is a scored classification
which estimates conditional probabilities of categories given an
input.0.01.
0.01.
ConditionalClassifier interface specifies a single method
for n-best classification with conditional category probabilities.ConditionalClassifierEvaluator provides an evaluation
harness for conditional probability-based n-best classifiers.ConfidenceChunker interface specifies a method
for returning an iterator over chunks in order of confidence.ConfusionMatrix represents a
quantitative comparison between two classifiers over a fixed set of
categories on a number of test cases.true if this dendrogram contains the
specified object as a leaf.
true if this set contains the specified object.
true if the specified string contains
an instance of the specified character.
true if at least one of the characters in
the specified array is a digit.
true if this mapping contains a mapping
for the specified object.
true if at least one of the characters in
the specified array is a letter.
true if this map contains a mapping
from some key to the specified value.
content attribute.
coords attribute.
Corpus abstract class provides a basis for passing
training and testing data to data handlers.CosineDistance class implements proximity as
vector cosine.CountComparator that compares objects
based on their counts in this object to counter map.
0.
ScoredClassification.create(List) instead.
data attribute.
datetime attribute.
dd.
dd element with no attributes.
dd element with the specified
attributes.
dd element with the specified
attribute and value.
dd element with the specified
attributes and values.
dd element with the specified
attributes and values.
dd element with the specified
attributes and values.
declare attribute.
Double.NEGATIVE_INFINITY.
"CHUNK".
"test".
"train".
defer attribute.
del.
del element with no attributes.
del element with the specified
attributes.
del element with the specified
attribute and value.
del element with the specified
attributes and values.
del element with the specified
attributes and values.
del element with the specified
attributes and values.
DelegateHandler may be used with a delegating
handler to more efficiently implement nested embeddings.DelegatingHandler is a SAX filter that routes events
to embedded handlers based on their element embedding.Dendrogram represents the result of a weighted
hierarchical clustering of a set of objects.DenseMatrix is a matrix implementation suitable for
matrices with primarily non-zero values.DenseVector is a vector implementation suitable for
vectors with primarily non-zero values.dfn.
dfn element with no attributes.
dfn element with the specified
attributes.
dfn element with the specified
attribute and value.
dfn element with the specified
attributes and values.
dfn element with the specified
attributes and values.
dfn element with the specified
attributes and values.
Dictionary interface represents a dictionary as a
set of entries.DictionaryEntry provides a phrase as a string, an
object-based category for the phrase, and a double-valued score.1.
dir.
dir element with no attributes.
dir element with the specified
attributes.
dir element with the specified
attribute and value.
dir element with the specified
attributes and values.
dir element with the specified
attributes and values.
dir element with the specified
attributes and values.
dir attribute.
disabled attribute.
DiscreteChooser class implements multinomial
conditional logit discrete choice analysis with variables varying
over alternatives.DiscreteDistribution provides a probability
distribution over long integer outcomes.DiscreteObjectChooser provides an implementation of
discrete choice analysis (DCA) over arbitrary objects using a
feature extractor.DiskCorpus reads data from a specified training and
test directory using a specified parser.Distance interface provides a general method for
defining distances between two objects.div.
div element with no attributes.
div element with the specified
attributes.
div element with the specified
attribute and value.
div element with the specified
attributes and values.
div element with the specified
attributes and values.
div element with the specified
attributes and values.
dl.
dl element with no attributes.
dl element with the specified
attributes.
dl element with the specified
attribute and value.
dl element with the specified
attributes and values.
dl element with the specified
attributes and values.
dl element with the specified
attributes and values.
DocumentTokenSuffixArray implements a suffix array over a
collection of named documents.α for document distributions over topics
from which this sample was produced.
DotProductKernel is the trivial kernel function
computed by taking the dot product of the input vectors.dt.
dt element with no attributes.
dt element with the specified
attributes.
dt element with the specified
attribute and value.
dt element with the specified
attributes and values.
dt element with the specified
attributes and values.
dt element with the specified
attributes and values.
DynamicLMClassifier is a language model classifier
that accepts training events of categorized character sequences.EditDistance class implements the standard notion
of edit distance, with or without transposition.em.
em element with no attributes.
em element with the specified
attributes.
em element with the specified
attribute and value.
em element with the specified
attributes and values.
em element with the specified
attributes and values.
em element with the specified
attributes and values.
null if not caching.
null if not caching.
Attributes with no
attributes.
0 array of integers.
enctype attribute.
GroupCharactersFilter.characters(char[],int,int) on
any accumulated characters.
SAXFilterHandler.mHandler.
GroupCharactersFilter.characters(char[],int,int) to handle any accumulated
characters.
SAXFilterHandler.mHandler.
true if all of the available bits have
been read or if this stream has been closed.
SAXFilterHandler.mHandler.
null namespace, using
the local name for both local and qualified names.
null namespace, using the local name for both
local and qualified names.
true if this codec enforces consistency
of the chunkings relative to the tokenizer factory.
EnglishStopTokenizerFactory applies an English stop
list to a contained base tokenizer factory.null if the entity is undefined.
true if the specified chunkings are equal.
true if the two character sequences have
the same length and the same characters.
true if the specified object is a chunk
that is equal to this chunk.
true if the specified object is a chunk
and character sequence structurally equivalent to this one.
true if the specified object is a chunking
equal to this one.
true if the specified object is a mention
chain that is equal to this mention chain.
true if the specified mention chain is
equal to this mention chain.
true if the specified object is a
dictionary object equal to this one.
true if the specified object is a matrix of
the same dimensionality with the same values.
true if the specified object is a vector
with the same dimensionality and values as this vector.
true if the specified object is a matrix
with the same number of rows and columns and the same value in
every cell as this matrix.
true if the specified object is a vector
that has the same dimensionality and values as this vector.
true if the specified object is a string
tagging that's structurally identical to this tagging.
true if the specified object is a tokenization
that is equal to this one.
true if the specified arrays are
the same length and contain the same elements.
true if the specified object
is a pair that has objects equal to this pair's.
true if the specified object is
a scored object with an object equal to this object's
and equal scores.
SAXFilterHandler.mHandler.
F pruned to the specified minimum feature count,
using the specified feature extractor, automatically adding an
intercept feature if the flag is true, allow unseen tag
transitions as specified, using the specified training
parameters for annealing, measuring convergence, and reporting
the incremental results to the specified reporter.
EuclideanDistance class implements standard
Euclidean distance between vectors.null if there is no period in the name.
Factory provides a generic interface for object
creation of a specified type."failure".
FastCache is a map implemented with soft references,
optimistic copy-on-write updates, and approximate count-based
pruning.SAXFilterHandler.mHandler.
FeatureExtractor provides a method of converting
generic input objects into feature vectors.FeatureExtractorFilter contains a reference to another
feature extractor.Features class contains static utility classes for
manipulating features.fieldset.
fieldset element with no attributes.
fieldset element with the specified
attributes.
fieldset element with the specified
attribute and value.
fieldset element with the specified
attributes and values.
fieldset element with the specified
attributes and values.
fieldset element with the specified
attributes and values.
FileExtensionFilter.FileExtensionFilter(boolean,String[]) instead.
FileLineReader instance represents the lines of a file.File.isFile().
null otherwise.
null to remove the feature altogether.
FixedWeightEditDistance sets constant weights for
the edit operations for weighted edit distance.Fβ value for
the specified β.
font.
font element with no attributes.
font element with the specified
attributes.
font element with the specified
attribute and value.
font element with the specified
attributes and values.
font element with the specified
attributes and values.
font element with the specified
attributes and values.
for attribute.
true if this model treats any input-final
token as a stop.
form.
form element with no attributes.
form element with the specified
attributes.
form element with the specified
attribute and value.
form element with the specified
attributes and values.
form element with the specified
attributes and values.
form element with the specified
attributes and values.
ForwardBackwardTagLattice provides an implementation of
a tag lattice based on forward, backward, transition and
normalizing values.frame.
frame element with no attributes.
frame element with the specified
attributes.
frame element with the specified
attribute and value.
frame element with the specified
attributes and values.
frame element with the specified
attributes and values.
frame element with the specified
attributes and values.
frame attribute.
frameset.
frameset element with no attributes.
frameset element with the specified
attributes.
frameset element with the specified
attribute and value.
frameset element with the specified
attributes and values.
frameset element with the specified
attributes and values.
frameset element with the specified
attributes and values.
GaussianRadialBasisKernel provides a kernel based on
a Gaussian radial basis function with a fixed variance parameter.Integer with value 1 if the specified
argument is mapped to 1 by this map, and returns null
otherwise.
null if
there is no value attached.
null if
there is no value attached.
null if it does not exist.
null
if none has been specified.
AbstractCommand.getArgument(String), but
throws an exception if the argument does not exist.
-1 if it is not a category for this
confusion matrix.
null
if none has been specified.
GroupCharactersFilter.characters(char[],int,int) into a single call with all of the
content concatenated.h1.
h1 element with no attributes.
h1 element with the specified
attributes.
h1 element with the specified
attribute and value.
h1 element with the specified
attributes and values.
h1 element with the specified
attributes and values.
h1 element with the specified
attributes and values.
h2.
h2 element with no attributes.
h2 element with the specified
attributes.
h2 element with the specified
attribute and value.
h2 element with the specified
attributes and values.
h2 element with the specified
attributes and values.
h2 element with the specified
attributes and values.
h3.
h3 element with no attributes.
h3 element with the specified
attributes.
h3 element with the specified
attribute and value.
h3 element with the specified
attributes and values.
h3 element with the specified
attributes and values.
h3 element with the specified
attributes and values.
h4.
h4 element with no attributes.
h4 element with the specified
attributes.
h4 element with the specified
attribute and value.
h4 element with the specified
attributes and values.
h4 element with the specified
attributes and values.
h4 element with the specified
attributes and values.
h5.
h5 element with no attributes.
h5 element with the specified
attributes.
h5 element with the specified
attribute and value.
h5 element with the specified
attributes and values.
h5 element with the specified
attributes and values.
h5 element with the specified
attributes and values.
h6.
h6 element with no attributes.
h6 element with the specified
attributes.
h6 element with the specified
attribute and value.
h6 element with the specified
attributes and values.
h6 element with the specified
attributes and values.
h6 element with the specified
attributes and values.
Handler marker interface indicates that a class
will be implement a handle method appropriate for a particular
Parser.HardFastCache is a map implemented with hard
references, optimistic copy-on-write updates, and approximate
count-based pruning.'-'
and not containing an '='.
true if there is a command-line
argument specified for the key.
true if the arguments set the specified
flag.
Matrix
interface's documentation.
true if the next call to Iterators.Buffered.next()
will return a non-null value.
true if calls to next() will
return a value.
true if the underlying iterator has
more elements.
true if there is another integer in the
iteration.
true if the arguments have the
specified property defined.
true if the specified matrix has
only zero values on its diagonal.
head.
head element with no attributes.
head element with the specified
attributes.
head element with the specified
attribute and value.
head element with the specified
attributes and values.
head element with the specified
attributes and values.
head element with the specified
attributes and values.
headers attribute.
height attribute.
HeuristicSentenceModel determines sentence
boundaries based on sets of tokens, a pair of flags, and an
overridable method describing boundary conditions.HiddenMarkovModel interface provides a means
for definining the probability estimates and symbol table
underlying a hidden Markov model (HMM).HierarchicalClusterer interface defines a means of
clustering a set of objects into a hierarchy of clusters.HmmCharLmEstimator employs a maximum a posteriori
transition estimator and a bounded character language model
emission estimator.HmmChunker uses a hidden Markov model to perform
chunking over tokenized character sequences.HmmDecoder provides implementations of first-best,
n-best and marginal taggers for hidden Markov models (HMMs).hr.
hr element with no attributes.
hr element with the specified
attributes.
hr element with the specified
attribute and value.
hr element with the specified
attributes and values.
hr element with the specified
attributes and values.
hr element with the specified
attributes and values.
href attribute.
hreflang attribute.
html.
html element with no attributes.
html element with the specified
attributes.
html element with the specified
attribute and value.
html element with the specified
attributes and values.
html element with the specified
attributes and values.
html element with the specified
attributes and values.
http-equiv attribute.
HyperbolicTangentKernel provides a kernel based on
the hyperbolic tangent of a dot product with fixed linear scaling.i.
i element with no attributes.
i element with the specified
attributes.
i element with the specified
attribute and value.
i element with the specified
attributes and values.
i element with the specified
attributes and values.
i element with the specified
attributes and values.
id attribute.
iframe.
iframe element with no attributes.
iframe element with the specified
attributes.
iframe element with the specified
attribute and value.
iframe element with the specified
attributes and values.
iframe element with the specified
attributes and values.
iframe element with the specified
attributes and values.
SAXFilterHandler.mHandler.
img.
img element with no attributes.
img element with the specified
attributes.
img element with the specified
attribute and value.
img element with the specified
attributes and values.
img element with the specified
attributes and values.
img element with the specified
attributes and values.
"I_".
1.