A model for temporal dependencies in event streams

Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011, NIPS 2011

Volumn , Issue , 2011, Pages

  Gunawardana, Asela ^a   Meek, Christopher ^a   Xu, Puyang ^b  

^a MICROSOFT RESEARCH   (United States)

^b Johns Hopkins University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN NETWORKS; INFORMATION RETRIEVAL; LEARNING ALGORITHMS; LEARNING SYSTEMS; POISSON DISTRIBUTION; SUPERCOMPUTERS;

APPROACHES TO LEARNING; BAYESIAN APPROACHES; CLOSED FORM; EVENT LOGS; EVENT STREAMS; INTENSITY MODELS; PIECE-WISE CONSTANTS; PROPOSAL DISTRIBUTION; SAMPLING ALGORITHM; SYNTHETIC DATA;

IMPORTANCE SAMPLING;

EID: 85162417196     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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