Hidden conditional ordinal random fields for sequence classification

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6322 LNAI, Issue PART 2, 2010, Pages 51-65

  Kim, Minyoung ^a   Pavlovic, Vladimir ^a  

^a RUTGERS UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION FRAMEWORK; CONDITIONAL RANDOM FIELD; HIDDEN CONDITIONAL RANDOM FIELDS; LATENT VARIABLE; NEW MODEL; NON-LINEAR MODEL; ORDINAL REGRESSION; PART-OF-SPEECH TAGS; PEAK VALUES; PREDICTION PERFORMANCE; QUASI-NEWTON; RANDOM FIELDS; RANKING APPROACH; SEQUENCE CLASSIFICATION; SEQUENCE MODELING; STATE SEQUENCES; STOCHASTIC GRADIENT; VIDEO CLASSIFICATION;

LEARNING SYSTEMS;

STOCHASTIC MODELS;

EID: 78049412316     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-15883-4_4     Document Type: Conference Paper

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