Adaptive p-posterior mixture-model kernels for multiple instance learning

Proceedings of the 25th International Conference on Machine Learning

Volumn , Issue , 2008, Pages 1136-1143

  Wang, Hua Yan ^a   Yang, Qiang ^b   Zha, Hongbin ^a  

^a PEKING UNIVERSITY   (China)

^b HONG KONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Hong Kong)

Author keywords

[No Author keywords available]

Indexed keywords

MACHINE LEARNING; APPLICATIONS; BENCHMARKING; LABELS; LEARNING SYSTEMS; PROBABILITY DENSITY FUNCTION; ROBOT LEARNING;

ADAPTIVE FRAMEWORK; BENCHMARK DATASETS; DIFFERENT MECHANISMS; DOMAIN SPECIFIC; KERNEL FUNCTION; MULTIPLE INSTANCE LEARNING; NOVEL APPLICATIONS; STATE OF THE ART; ADAPTIVE FRAMEWORKS; APPLICATION DOMAINS; DATA-SETS; DOMAIN SPECIFICS; KERNEL FUNCTIONS; MIXTURE MODELS; MULTIPLE-INSTANCE LEARNING; REAL-WORLD;

MIXTURES; EDUCATION;

EID: 56449086489     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1390156.1390299     Document Type: Conference Paper

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