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Estimation of distribution algorithm
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51	Modelling the Regularity in an Estimation of Distribution Algorithm for Continuous Multiobjective Optimization with Variable Linkages Qingfu Zhang, Department of Computer Science, University of Essex, Wivenhoe Park, Colc Add to Reading List Source URL: cswww.essex.ac.uk Language: English - Date: 2006-08-04 06:36:32 Statistics Multi-objective optimization Pareto efficiency Estimation of distribution algorithm Optimization problem Algorithm Evolutionary algorithm Principal component analysis Mathematical optimization Mathematics Applied mathematics
52	In Proceedings of the The Sixth International Conference on Cognitive Modelling (pp 40–45). Mahwah, NJ: Erlbaum, [removed]O PTIMIST: A New Conflict Resoution Algorithm for ACT– R Roman V. Belavkin ([removed] Add to Reading List Source URL: www.eis.mdx.ac.uk Language: English - Date: 2006-01-31 05:13:14 Theoretical computer science Normal distribution Poisson distribution Bias of an estimator Variance Algorithm Production system Bayes estimator Statistics Statistical theory Estimation theory
53	Statistics 582, Problem Set 1 Solutions Wellner; [removed]Lehmann and Casella, TPE, Problem 4.9, page 504. Solution: (a) The density of a bivariate normal random vector (X, Y ) with µ1 = µ2 = 0, variances σ12 ≡ Add to Reading List Source URL: www.stat.washington.edu Language: English - Date: 2015-01-15 11:29:59 Expectation–maximization algorithm Missing data Multivariate normal distribution Maximum likelihood Symbol Orbifold Statistics Estimation theory Normal distribution
54	Proc. of IEEE Power Engineering Society Winter Meeting January 28 - February 1st, 2001 Columbus, Ohio, USA. Practical Distribution State Estimation Add to Reading List Source URL: homepage2.nifty.com Language: English - Date: 2006-01-19 09:37:00 Mathematical optimization Automation Distribution management system Power factor Genetic algorithm Estimation theory Power flow study Sensitivity analysis Voltage regulator Electromagnetism Electrical engineering Electric power
55	16 Density Estimation We’ve learned more and more about how to describe and fit functions, but the decision to fit a function can itself be unduly restrictive. Instead of assuming a noise model for the data (such as G Add to Reading List Source URL: fab.cba.mit.edu Language: English - Date: 2014-04-14 17:27:29 Estimation theory Bayesian statistics Expectation–maximization algorithm Missing data Normal distribution Kernel density estimation Entropy Maximum likelihood Principle of maximum entropy Statistics Statistical theory Non-parametric statistics
56	6.867 Machine learning, lecture 16 (Jaakkola) 1 Lecture topics: • Mixture of Gaussians (cont’d) Add to Reading List Source URL: ocw.mit.edu Language: English - Date: 2015-03-15 16:36:56 Statistical theory M-estimators Expectation–maximization algorithm Missing data Maximum likelihood Mixture model Conjugate prior Likelihood function Normal distribution Statistics Estimation theory Bayesian statistics
57	Distribution State Estimation Considering Nonlinear Characteristics of Practical Equipment Using Hybrid Particle Swarm Optimization Shigenori Naka Takamu Genji, Toshiki Yura Technical Research Center, Add to Reading List Source URL: homepage2.nifty.com Language: English - Date: 2006-01-19 09:38:53 Automation Distribution management system Estimation theory Mathematical optimization Genetic algorithm Power factor Voltage regulator Power flow study Electromagnetism Electrical engineering Electric power
58	Clustering by intersection-merging Qunhua Li Marina Meila˘ Department of Statistics Add to Reading List Source URL: www.stat.washington.edu Language: English - Date: 2007-11-27 01:06:05 Mixture model Likelihood function Mixture distribution EM Algorithm Statistics Estimation theory Expectation–maximization algorithm
59	Journal of Machine Learning Research[removed]1322 Submitted 9/09; Revised 2/10; Published 4/10 Learning From Crowds Vikas C. Raykar Add to Reading List Source URL: jmlr.csail.mit.edu Language: English - Date: 2010-04-07 15:50:44 Expectation–maximization algorithm Beta distribution Statistics Estimation theory Maximum likelihood
60	Journal of Machine Learning Research[removed]1031 Submitted 9/12; Revised 1/13; Published 4/13 Variational Inference in Nonconjugate Models Chong Wang Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2015-03-12 00:16:23 Estimation theory Gamma distribution Conjugate prior Exponential family Marginal likelihood Delta method Sufficient statistic Kullback–Leibler divergence Expectation–maximization algorithm Statistics Statistical theory Bayesian statistics