Package edu.cmu.minorthird.classify.sequential

Machinery for sequential classification algorithms.

See:
Description

Interface Summary

BatchSegmenterLearner
BatchSequenceClassifierLearner	A SequenceClassifierLearner that trains itself in batch mode.
CandidateSegmentGroup	A group of sliding windows associated with a sequence.
ConfidenceReportingSequenceClassifier	A sequence classifier that can report on the confidence associated with any subsequence of a sequential classification.
Segmenter
SequenceClassifier	Interface for a sequence classifier.
SequenceClassifierLearner	Interface for something that learns sequence classifiers.
SequenceClassifierTeacher	Interface for something that trains sequence classifiers.
SequenceConstants

Class Summary

Backward
BeamSearcher	A conditional markov model classifier.
ClassifiedSequenceDataset	A SequenceDataset that has been classified with a SequenceClassifier.
CMM	A conditional markov model classifier.
CMMLearner	Train a CMM (in batch mode).
CMMTweaker	Adjust the precision-recall of a CMM that is based on an array of hyperplanes, by adjusting the bias term of the hyperplane associated with the background (NEG) class.
CollinsPerceptronLearner	Sequential learner based on the perceptron algorithm, as described in Discriminative Training Methods for Hidden Markov Models: Theory and Experiments with Perceptron Algorithms, Mike Collins, EMNLP 2002.
CollinsPerceptronLearner.MultiClassVPClassifier
CompactCandidateSegmentGroup	A more space-efficient version of a CandidateSegmentGroup.
ConfidenceUtils	A hack for computing approximate confidences over a sequence.
CRFLearner	Sequential learner based on the CRF algorithm.
CrossValidatedSequenceDataset	View result of some sort of train/test experiment on sequential data.
DatasetSequenceClassifierTeacher	Trains a SequenceClassifierLearner using the information in a labeled Dataset.
DictVersion	Extend a SegmenterLearner by including a dictionary.
Forward
GenericCollinsLearner	'Generic' version of Collin's voted perceptron learner.
GenericCollinsLearnerV1	Generic version of Collin's voted perceptron learner.
GenericCollinsLearnerV1.MultiClassClassifier
HMM
HMMAlgo
HMMLearner
HyperplaneInstance	Wrap a hyperplane to that it supports the Instance interface.
InstanceFromSequence	An instance that appears as part of a sequence.
LeaveOneOutDictVersion
MarginPerceptronLearner	Sequential learner based on the perceptron algorithm that takes the top-k viterbi paths and subtracts those within a margin of beta of the correct.
MultiClassHMMClassifier
MutableCandidateSegmentGroup	A group of sliding windows associated with a sequence.
PosteriorProb
Segmentation
Segmentation.Segment
SegmentCollinsPerceptronLearner
SegmentCollinsPerceptronLearner.ViterbiSearcher
SegmentCollinsPerceptronLearner.ViterbiSegmenter
SegmentCRFLearner	Sequential learner based on the CRF algorithm.
SegmentDataset	A SequenceDataset that additionally includes examples for 'sliding windows' over the original data.
SegmentGenericCollinsLearner	Semi-markov version of GenericCollinsLearner.
SequenceDataset	A dataset of sequences of examples.
SequenceUtils
SequenceUtils.MultiClassClassifier	Wraps the OneVsAllClassifier, and provides a more convenient constructor.
StackedSequenceLearner
StackedSequenceLearner.StackingParams	Bundle of parameters for the StackedSequenceLearner.
Traceback2
TrivialSequenceClassifier	Apply a classifier to each item in a sequence in turn, using as history the previous predicted items.
Viterbi

Package edu.cmu.minorthird.classify.sequential Description

Machinery for sequential classification algorithms.