Gaussian process classification for segmenting and annotating sequences

Proceedings, Twenty-First International Conference on Machine Learning, ICML 2004

Volumn , Issue , 2004, Pages 25-32

  Altun, Yasemin ^a   Hofmann, Thomas ^a,b   Smola, Alexander J ^c  

^a Brown Univerity   (United States)

^b MAX PLANCK INSTITUTE FOR BIOLOGICAL CYBERNETICS   (Germany)

^c AUSTRALIAN NATIONAL UNIVERSITY   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; ERROR ANALYSIS; MARKOV PROCESSES; OBJECT RECOGNITION; OPTIMIZATION; PROBABILITY DISTRIBUTIONS; RANDOM PROCESSES; SEMANTICS; VECTORS;

GAUSSIAN PROCESS SEQUENCE CLASSIFICATION (GPSC); KERNEL FUNCTION; KERNEL STRUCTURE; SUPPORT VECTOR MACHINE (SVM);

CLASSIFICATION (OF INFORMATION);

EID: 14344257912     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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