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The Cross-Entropy Method - A Unified Approach to Combinatorial Optimization, Monte-Carlo Simulation and Machine Learning (Paperback, Softcover reprint of the original 1st ed. 2004)
Loot Price: R3,440
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The Cross-Entropy Method - A Unified Approach to Combinatorial Optimization, Monte-Carlo Simulation and Machine Learning (Paperback, Softcover reprint of the original 1st ed. 2004)
Series: Information Science and Statistics
Expected to ship within 10 - 15 working days
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This book is a comprehensive and accessible introduction to the
cross-entropy (CE) method. The CE method started life around 1997
when the first author proposed an adaptive algorithm for rare-event
simulation using a cross-entropy minimization technique. It was
soon realized that the underlying ideas had a much wider range of
application than just in rare-event simulation; they could be
readily adapted to tackle quite general combinatorial and
multi-extremal optimization problems, including many problems
associated with the field of learning algorithms and neural
computation. The book is based on an advanced undergraduate course
on the CE method, given at the Israel Institute of Technology
(Technion) for the last three years. It is aimed at a broad
audience of engineers, computer scientists, mathematicians,
statisticians and in general anyone, theorist or practitioner, who
is interested in smart simulation, fast optimization, learning
algorithms, image processing, etc. Our aim was to write a book on
the CE method which was accessible to advanced undergraduate
students and engineers who simply want to apply the CE method in
their work, while at the same time accentu ating the unifying and
novel mathematical ideas behind the CE method, so as to stimulate
further research at a postgraduate level."
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