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The Cross-Entropy Method: A Unified Approach to Combinatorial Optimization, Monte-Carlo Simulation and Machine Learning
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The article was published on 2004-07-28 and is currently open access. It has received 1130 citations till now. The article focuses on the topics: Cross-entropy method & Combinatorial optimization.read more
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A Tutorial on the Cross-Entropy Method
TL;DR: This tutorial presents the CE methodology, the basic algorithm and its modifications, and discusses applications in combinatorial optimization and machine learning.
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The CMA Evolution Strategy: A Tutorial
TL;DR: This tutorial introduces the CMA Evolution Strategy (ES), where CMA stands for Covariance Matrix Adaptation, a stochastic method for real-parameter (continuous domain) optimization of non-linear, non-convex functions.
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Theory and applications of HVAC control systems – A review of model predictive control (MPC)
TL;DR: In this paper, the authors present a literature review of model predictive control (MPC) for HVAC systems, with an emphasis on the theory and applications of MPC for heating, ventilation and air conditioning (HVAC) systems.
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Peak-To-Average Power Ratio Reduction in OFDM Systems: A Survey And Taxonomy
Yasir Rahmatallah,Seshadri Mohan +1 more
TL;DR: The survey describes the most commonly encountered impediment of OFDM systems, the PAPR problem and consequent impact on power amplifiers leading to nonlinear distortion, and provides insights into the transmitted power constraint by showing the possibility of satisfying the constraint without added complexity by the use of companding transforms with suitably chosen companding parameters.
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Importance Nested Sampling and the MultiNest Algorithm
TL;DR: In this article, an alternative summation of the MultiNest draws, called importance nested sampling (INS), is presented, which can calculate the Bayesian evidence at up to an order of magnitude higher accuracy than vanilla NS with no change in the way Multi-Nest explores the parameter space.