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Model selection
Results: 1077

#	Item
51	Learning Bayesian Networks with Thousands of Variables Mauro Scanagatta IDSIA∗ , SUPSI† , USI‡ Lugano, Switzerland Add to Reading List Source URL: ipg.idsia.ch Language: English - Date: 2016-03-17 09:50:41 Model selection Bayesian network Bayesian information criterion Akaike information criterion Machine learning Mutual information Mathematical optimization
52	Copyright Ó 2009 by the Genetics Society of America DOI: geneticsThe Genetic Basis of Phenotypic Adaptation II: The Distribution of Adaptive Substitutions in the Moving Optimum Model Michael Kopp1 an Add to Reading List Source URL: www.mabs.at Language: English - Date: 2010-08-13 08:13:48 Evolutionary biology Natural selection Mutation rate Weak Selection Mutation Genetic drift Fitness landscape Evolution Polymorphism Fixation Adaptation
53	Ann Inst Stat Math:877–903 DOIs10463Bayesian model selection for a linear model with grouped covariates Xiaoyi Min1 · Dongchu Sun2,3 Add to Reading List Source URL: www.ism.ac.jp Language: English - Date: 2016-08-02 06:58:14 Parametric statistics Regression analysis Statistical models Design of experiments Prior probability Analysis of variance Linear regression Bayes factor Bayesian network
54	Coordination in Multiagent Reinforcement Learning: A Bayesian Approach Georgios Chalkiadakis Craig Boutilier Add to Reading List Source URL: www.intelligence.tuc.gr Language: English - Date: 2009-03-02 16:24:03 Game theory Reinforcement learning Nash equilibrium Q-learning Strategy Partially observable Markov decision process Action selection Best response Bellman equation Zero-sum game Agent-based model Solution concept
55	192 Genome Informatics 13: 192–Using Feature Generation and Feature Selection for Accurate Prediction of Translation Initiation Sites Add to Reading List Source URL: www.jsbi.org Language: English - Date: 2002-12-09 05:53:41 Machine learning Statistical classification Model selection Protein biosynthesis Support vector machine Leaky scanning Cross-validation Naive Bayes classifier Kozak consensus sequence Feature selection Directionality
56	Deep neural network context embeddings for model selection in rich-context HMM synthesis Thomas Merritt1 , Junichi Yamagishi1,2 , Zhizheng Wu1 , Oliver Watts1 , Simon King1 1 The Centre for Speech Technology Research, U Add to Reading List Source URL: www.cstr.inf.ed.ac.uk Language: English - Date: 2015-09-29 11:06:25 Computational linguistics Markov models Automatic identification and data capture Computer accessibility Speech recognition Speech synthesis Hidden Markov model KullbackLeibler divergence
57	Genome Informatics 15(2): 131–Recovering Genetic Regulatory Networks from Micro-Array Data and Location Analysis Data Add to Reading List Source URL: www.jsbi.org Language: English - Date: 2004-12-20 01:22:45 Gene expression Networks Cybernetics Dimension reduction Feature selection Model selection Algorithm Gene regulatory network DNA microarray Bayesian network Regression analysis Machine learning
58	A model driven approach for supporting the cloud target selection process A. Kopaneli, G. Kousiouris, G. Echevarria Velez, A. Evangelinou, T. Varvarigou Add to Reading List Source URL: cf2015.holacloud.eu Language: English - Date: 2015-10-12 10:30:59 Cloud infrastructure Selec Cloud computing
59	Journal of Machine Learning Research 18:199–213, 2012 Proceedings of KDD-Cup 2011 competition Combining Predictors for Recommending Music: the False Positives’ approach to KDD Cup track 2 Add to Reading List Source URL: jmlr.org Language: English - Date: 2012-06-01 11:02:19 Statistical classification Collective intelligence Recommender systems Collaboration Model selection Cross-validation Collaborative filtering Netflix Prize Support vector machine Cold start Regression analysis Star
60	Selection of a suitable data set and model for the estimation of genetic parameters of the weaning weight in beef cattle* Add to Reading List Source URL: www.archanimbreed.com Language: English - Date: 2016-01-06 06:20:57 Genetics Heritability Genetic variance Genetic correlation Normal distribution Random effects model Restricted maximum likelihood Best linear unbiased prediction Variance Explained variation Genome-wide complex trait analysis