Efficient inference of Gaussian-process-modulated renewal processes with application to medical event data

Uncertainty in Artificial Intelligence - Proceedings of the 30th Conference, UAI 2014

Volumn , Issue , 2014, Pages 469-476

  Lasko, Thomas A ^a  

^a VANDERBILT UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; ARTIFICIAL INTELLIGENCE; GAUSSIAN DISTRIBUTION; GAUSSIAN NOISE (ELECTRONIC); LEARNING ALGORITHMS; LEARNING SYSTEMS;

CATEGORICAL VARIABLES; GAUSSIAN PROCESSES; INFERENCE METHODS; INTENSITY FUNCTIONS; NUMERIC INTEGRATION; ORDERS OF MAGNITUDE; PROBABILITY DENSITIES; STANDARD MACHINES;

PROBABILITY DENSITY FUNCTION;

EID: 84923282421     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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