Fast Gaussian process methods for point process intensity estimation

Proceedings of the 25th International Conference on Machine Learning

Volumn , Issue , 2008, Pages 192-199

  Cunningham, John P ^a   Shenoy, Krishna V ^a   Sahani, Maneesh ^b  

^a Stanford University   (United States)

^b UNIVERSITY COLLEGE LONDON   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

GAUSSIAN DISTRIBUTION; MACHINE LEARNING; FUNCTIONS; GAUSSIAN NOISE (ELECTRONIC); LEARNING SYSTEMS; ROBOT LEARNING; TRELLIS CODES;

ANALYTICAL EFFORTS; CONTINUOUS FUNCTIONS; GAUSSIAN PROCESSES; INTENSITY FUNCTIONS; NOISY OBSERVATIONS; ORDERS OF MAGNITUDE; POINT PROCESS; RENEWAL PROCESS;

GAUSSIAN NOISE (ELECTRONIC); PROBABILITY DENSITY FUNCTION;

ACROSS TIME; ANALYTICAL EFFORTS; CONTINUOUS FUNCTIONS; GAUSSIAN; GAUSSIAN PROCESSES; INTENSITY FUNCTIONS; NOISY OBSERVATIONS; ORDERS OF MAGNITUDES; POINT PROCESS; PROCESS METHODS; RENEWAL PROCESS; TIME REQUIREMENTS;

EID: 56449127430     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1390156.1390181     Document Type: Conference Paper

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