Entropy and margin maximization for structured output learning

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

Volumn 6323 LNAI, Issue PART 3, 2010, Pages 83-98

  Pletscher, Patrick ^a   Ong, Cheng Soon ^a   Buhmann, Joachim M ^a  

^a ETH ZURICH   (Switzerland)

Author keywords

[No Author keywords available]

Indexed keywords

CHAIN MODELS; CONDITIONAL RANDOM FIELD; LARGE MARGIN METHODS; LATENT VARIABLE MODELS; LOSS FUNCTIONS; MULTI-CLASS; MULTIPLE INSTANCE LEARNING; PROBABILISTIC INTERPRETATION; RESCALING; STRUCTURED SUPPORTS;

LEARNING SYSTEMS;

ENTROPY;

EID: 77958033407     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-15939-8_6     Document Type: Conference Paper

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