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Algorithm selection
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#	Item
271	MAXIMUM ENTROPY RELAXATION FOR GRAPHICAL MODEL SELECTION GIVEN INCONSISTENT STATISTICS Venkat Chandrasekaran, Jason K. Johnson, Alan S. Willsky Laboratory for Information and Decision Systems Department of Electrical Eng Add to Reading List Source URL: users.cms.caltech.edu Language: English - Date: 2012-02-01 13:45:54 Bayesian statistics Information theory Statistical models Exponential family Expectation–maximization algorithm Maximum likelihood Principle of maximum entropy Fisher information Entropy Statistics Estimation theory Statistical theory
272	Gossip-based Search Selection in Hybrid Peer-to-Peer Networks M. Zaharia and S. Keshav School of Computer Science, University of Waterloo, Waterloo, ON, Canada Abstract: We present GAB, a search algorithm for hybrid P2P Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2014-12-31 23:51:27 Distributed hash table Peer-to-peer Chord Gnutella Flooding Information retrieval Kademlia Distributed data storage File sharing networks Computing
273	Feature Selection in Hierarchical Feature Spaces Petar Ristoski and Heiko Paulheim University of Mannheim, Germany Research Group Data and Web Science {petar.ristoski,heiko}@informatik.uni-mannheim.de Add to Reading List Source URL: ub-madoc.bib.uni-mannheim.de Language: English - Date: 2014-10-01 05:30:01 Machine learning Search algorithms Dimension reduction Feature selection K-nearest neighbor algorithm Cross-validation Support vector machine DBpedia Statistics Model selection Artificial intelligence
274	Application of Machine Learning to Algorithm Selection for TSP Josef Pihera Nysret Musliu Add to Reading List Source URL: www.dbai.tuwien.ac.at Language: English - Date: 2014-09-25 13:22:07 Travelling salesman problem Search algorithms Spanning tree Operations research K-nearest neighbor algorithm Supervised learning Combinatorial optimization Optimization problem Algorithm Mathematics Theoretical computer science Applied mathematics
275	ARTICLE Communicated by Kechen Zhang Efficient Learning and Feature Selection in High-Dimensional Regression Add to Reading List Source URL: www-clmc.usc.edu Language: English - Date: 2010-02-06 00:59:42 Linear regression Partial least squares regression Backfitting algorithm Principal component analysis Supervised learning Least squares Nonlinear regression Ordinary least squares Outline of regression analysis Statistics Regression analysis Additive model
276	Copyright by Doran Chakraborty 2012 The Dissertation Committee for Doran Chakraborty Add to Reading List Source URL: apps.cs.utexas.edu Language: English - Date: 2012-08-27 09:24:46 Agent-based model Action selection Markov process Algorithm Ethology Artificial intelligence Science Stochastic processes Reinforcement learning
277	E. E. Holmes, E. J. Ward, and M. D. Scheuerell Analysis of multivariate timeseries using the MARSS package version 3.9 March 19, 2014 Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-07-02 10:00:15 Model selection Bootstrapping Data analysis Expectation–maximization algorithm Akaike information criterion Statistics Statistical inference Estimation theory
278	Dry season habitat and patch selection by African buffalo herds: test of a new home range estimator by Shane M. Abeare Add to Reading List Source URL: www.nrmsc.usgs.gov Language: English - Date: 2012-11-15 18:42:31 Ethology Home range Kruger National Park K-nearest neighbor algorithm American bison Geographic information system Kernel Linux kernel Burroughs MCP Software Computer architecture System software
279	Introduction to the surface package Travis Ingram This tutorial walks through the steps of a SURFACE analysis using a simple demonstration data set. The main use of SURFACE is to construct a macroevolutionary adaptive la Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-07-02 16:39:21 AICC Mathematics Model selection Akaike information criterion Algorithm
280	Package ‘rminer’ November 7, 2014 Type Package Title Data Mining Classification and Regression Methods Version 1.4 Date[removed] Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-11-07 08:06:12 Econometrics Data analysis Model selection Multivariate adaptive regression splines Training set K-nearest neighbor algorithm Logistic regression Linear regression Support vector machine Statistics Machine learning Regression analysis

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