Understanding protein dynamics with L1-regularized reversible hidden Markov models

31st International Conference on Machine Learning, ICML 2014

Volumn 4, Issue , 2014, Pages 2940-2948

  McGibbon, Robert T ^a   Ramsundar, Bharath ^b   Sultan, Mohammad M ^a   Kiss, Gert ^a   Pande, Vijay S ^a  

^a STANFORD UNIVERSITY   (United States)

^b Stanford University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ACTIVATION ANALYSIS; ALGORITHMS; ARTIFICIAL INTELLIGENCE; COMPUTER SIMULATION; CYTOLOGY; DISTRIBUTED COMPUTER SYSTEMS; LEARNING SYSTEMS; MOLECULAR DYNAMICS; PROGRAM PROCESSORS; PROTEINS; SUPERCOMPUTERS;

ACTIVATION MECHANISMS; CONFORMATIONAL DYNAMICS; DISTRIBUTED COMPUTING NETWORKS; LEARNING FRAMEWORKS; MODEL SELECTION CRITERIA; MOLECULAR DYNAMICS SIMULATIONS; PROTEIN SIMULATIONS; RATIONAL DRUG DESIGNS;

HIDDEN MARKOV MODELS;

EID: 84919820107     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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