Searching for higgs boson decay modes with deep learning

Advances in Neural Information Processing Systems

Volumn 3, Issue January, 2014, Pages 2393-2401

  Sadowski, Peter ^a   Baldi, Pierre ^a   Whiteson, Daniel ^b  

^a Irvine   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; BOSONS; HIGH ENERGY PHYSICS; INFORMATION SCIENCE; LEARNING SYSTEMS; NETWORK ARCHITECTURE; NEURAL NETWORKS;

COLLISION EVENTS; DEEP NEURAL NETWORKS; EXOTIC PARTICLES; HIGGS BOSON DECAY; HIGH-ENERGY COLLISIONS; HIGH-LEVEL FEATURES; MACHINE LEARNING SOFTWARE; STATISTICAL POWER;

LEARNING ALGORITHMS;

EID: 84937919478     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (11)

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