منابع مشابه
Perspective: Energy Landscapes for Machine Learning
Andrew J. Ballard, Ritankar Das, Stefano Martiniani, Dhagash Mehta, Levent Sagun, Jacob D. Stevenson, and David J. Wales a) University Chemical Laboratories, Lensfield Road, Cambridge CB2 1EW, United Kingdom Department of Applied and Computational Mathematics and Statistics, University of Notre Dame, IN, USA Mathematics Department, Courant Institute, New York University, NY, USA Microsoft Resea...
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In many statistical learning problems, the target functions to be optimized are highly non-convex in various model spaces and thus are difficult to analyze. In this paper, we compute Energy Landscape Maps (ELMs) which characterize and visualize an energy function with a tree structure, in which each leaf node represents a local minimum and each non-leaf node represents the barrier between adjac...
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ژورنال
عنوان ژورنال: Physical Chemistry Chemical Physics
سال: 2017
ISSN: 1463-9076,1463-9084
DOI: 10.1039/c7cp01108c