Learning generative models of molecular dynamics

HIGHLIGHTS

  • who: Razavian et_al BMC Genomics et al. from the (UNIVERSITY) have published the research work: Learning generative models of molecular dynamics, in the Journal: (JOURNAL)
  • what: The authors demonstrate the algorithms on multiple molecular dynamics trajectories. The aim of this paper is to introduce new algorithms to do so. The algorithm addresses the problem of over-fitting by maximizing the following objective function: ll( |D)= -1 log P(d k ) - λ|| ||1. k=1 Here, ||Σ-1||1 is the L1 norm of the precision matrix. The authors compare the models returned by the algorithm to those . . .

     

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