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Bayesian optimization
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#	Item
71	Escaping Hierarchical Traps with Competent Genetic Algorithms Martin Pelikan David. E. Goldberg Depts. of General Engineering and Computer Science Add to Reading List Source URL: hboa.deg511.com Language: English - Date: 2007-07-17 16:58:44 Numerical analysis Mathematical optimization Search algorithms Genetic algorithm Fitness landscape Evolutionary algorithm Bayesian network Algorithm Evolutionary computation Mathematics Applied mathematics Cybernetics
72	Advances in Search and Inference for Combinatorial Optimization Add to Reading List Source URL: www.ics.uci.edu Language: English - Date: 2010-01-29 13:18:50 Statistical models Probability and statistics Bayesian network Networks Belief propagation Bayesian statistics Graphical models Statistics
73	Robust and Scalable Black-Box Optimization, Hierarchy, and Ising Spin Glasses Martin Pelikan Computational Laboratory (CoLab), Swiss Federal Institute of Technology (ETH), Zurich, Switzerland David E. Goldberg Illinois G Add to Reading List Source URL: hboa.deg511.com Language: English - Date: 2007-07-17 16:58:44 Cybernetics Genetic algorithms Science Bayesian statistics Statistical models Estimation of distribution algorithm Evolutionary algorithm Bayesian network Crossover Applied mathematics Mathematics Mathematical optimization
74	Principles and Methods for Automated Inference Rina Dechter and Irina Rish Information and Computer Science Add to Reading List Source URL: www.ics.uci.edu Language: English - Date: 2008-09-08 14:27:22 Functions and mappings Statistics Bayesian network Constraint satisfaction Constraint optimization Function Constraint logic programming Constraint programming Mathematics Mathematical optimization
75	BOA: The Bayesian Optimization Algorithm Martin Pelikan, David E. Goldberg, and Erick Cant´ u-Paz Illinois Genetic Algorithms Laboratory Department of General Engineering Add to Reading List Source URL: hboa.deg511.com Language: English - Date: 2007-07-17 16:58:44 Mathematical optimization Estimation of distribution algorithm Evolutionary computation Cybernetics Operations research Genetic algorithm Algorithm Bayesian network Combinatorial optimization Mathematics Applied mathematics Theoretical computer science
76	Mini-Buckets: A General Scheme for Generating Approximations in Automated Reasoning Rina Dechter Department of Information and Computer Science University of California, Irvine Add to Reading List Source URL: www.ics.uci.edu Language: English - Date: 2000-11-14 17:35:41 Constraint optimization Mathematical optimization Mathematics Computer programming Local consistency Bayesian network Bucket Bucket sort Radix sort Constraint programming Computing Sorting algorithms
77	Microsoft PowerPoint - dod-sat-workshop.ppt [Compatibility Mode] Add to Reading List Source URL: www.ics.uci.edu Language: English - Date: 2008-09-08 14:27:26 Mathematics Local consistency Constraint satisfaction Mathematical optimization Boolean satisfiability problem Belief propagation Bayesian network Graphical model Constraint optimization Constraint programming Theoretical computer science Software engineering
78	Journal of Artificial Intelligence Research–442 Submitted 07/08; publishedSolving #S AT and Bayesian Inference with Backtracking Search Fahiem Bacchus Add to Reading List Source URL: jair.org Language: English - Date: 2009-03-28 16:44:23 Mathematics Backtracking DPLL algorithm Bayesian network Tree decomposition Constraint optimization Algorithm Decomposition method Local consistency Constraint programming Declarative programming Graph theory
79	SYSTEM PARAMETER ESTIMATION IN TOMOGRAPHIC INVERSE PROBLEMS A.ALESSIO AND K.SAUER Department of Electrical Engineering Add to Reading List Source URL: faculty.washington.edu Language: English - Date: 2005-11-10 13:24:10 Regression analysis Statistical theory Bayesian statistics Expectation–maximization algorithm Maximum likelihood Least squares Likelihood function Robust optimization Linear least squares Statistics Estimation theory Mathematical optimization
80	Figure 1: The collaborative topic Poisson factorization model (CTPF). A Stochastic variational inference for the collaborative topic Poisson factorization model Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2014-11-03 20:43:29 Machine learning Latent Dirichlet allocation Stochastic approximation Mathematics Mathematical optimization Bayesian statistics Evolutionary algorithms Dynamic topic model Stochastic optimization Statistics Statistical natural language processing