Model selection

Results: 1077



#Item
391Bioinformatics / Bayesian statistics / Cross-validation / Model selection / Ensemble learning / Supervised learning / Support vector machine / Naive Bayes classifier / Sequence alignment / Statistics / Machine learning / Statistical classification

Assessing the Performance of Macromolecular Sequence Classifiers Cornelia Caragea, Jivko Sinapov, Vasant Honavar Drena Dobbs

Add to Reading List

Source URL: www.cs.iastate.edu

Language: English - Date: 2007-09-25 17:18:34
392Statistics / Region growing / Feature selection / Feature detection / Algorithm / Artificial intelligence / Applied mathematics / Image processing / Computer vision / Segmentation

Geosci. Model Dev., 5, 457–470, 2012 www.geosci-model-dev.netdoi:gmd © Author(sCC Attribution 3.0 License. Geoscientific

Add to Reading List

Source URL: www.geosci-model-dev.net

Language: English - Date: 2014-12-04 04:05:57
393Anatomy / Cognitive science / Motor control / Computational neuroscience / Artificial intelligence / Leabra / Executive functions / Network architecture / Action selection / Neural networks / Neuroscience / Mind

A continuous time neural model for sequential action George Kachergis1 , Dean Wyatte2 , Randall C. O’Reilly2 , Roy de Kleijn1 , and Bernhard Hommel1 1 Institute for Psychological Research &

Add to Reading List

Source URL: www.kachergis.com

Language: English - Date: 2014-08-22 07:02:14
394Dimension reduction / Feature selection / Image processing / Feature / Statistical classification / Confidence interval / Statistics / Machine learning / Model selection

Microsoft Word - NIPS Feature Selection Challenge.doc

Add to Reading List

Source URL: clopinet.com

Language: English - Date: 2003-12-07 07:12:08
395Transduction / Model selection / Support vector machine / Feature selection / Naive Bayes classifier / Statistics / Statistical classification / Machine learning

NIPS03 Workshop of Feature Extraction and Feature Selection Challenge Feature Selection using/for Transductive Support Vector Machine Mr. Zhili Wu Dr. Chun-hung Li

Add to Reading List

Source URL: clopinet.com

Language: English - Date: 2003-12-18 12:54:20
396Model selection / Learning / Support vector machines / Cross-validation / Feature selection / Linear discriminant analysis / Stability / Statistics / Machine learning / Statistical classification

Visual Methods for Examining SVM Classifiers Doina Caragea1, Dianne Cook2 , Hadley Wickham2 , and Vasant Honavar3 1 3

Add to Reading List

Source URL: www.cs.iastate.edu

Language: English - Date: 2009-02-02 00:36:38
397Akaike information criterion / Model selection / NRC Research Press

Canadian Society of Soil Science P.O. Box 637 • Pinawa, Manitoba R0E 1L0 • Tel[removed]FAX[removed] • email [removed] • webpage www.csss.ca ON-LINE RENEWAL is available at www.csss.c

Add to Reading List

Source URL: csss.ca

Language: English - Date: 2014-12-09 18:22:49
398Reinforcement learning / Complex systems theory / Multi-agent systems / Q-learning / Action selection / Machine learning / Agent-based model / Reinforcement / Markov decision process / Statistics / Science / Artificial intelligence

MACHINE LEARNING COURSE / Fall[removed]Hierarchical Multi-Agent Reinforcement Learning for Dynamic Coverage Control

Add to Reading List

Source URL: www.cs.sfu.ca

Language: English - Date: 2009-09-27 12:55:32
399Knowledge / Dimension reduction / Feature selection / Model selection / Supervised learning / Pattern recognition / Algorithm / NP / Relevance / Machine learning / Science / Statistics

AIJ special issue on relevance Wrappers for Feature Subset Selection Ron Kohavi Data Mining and Visualization Silicon Graphics, Inc.

Add to Reading List

Source URL: ai.stanford.edu

Language: English - Date: 2010-10-25 23:04:29
400Probability and statistics / Bayesian inference / Statistical theory / Bayesian probability / Markov chain / Bayes factor / Probability distribution / Estimation theory / Metropolis–Hastings algorithm / Statistics / Bayesian statistics / Statistical inference

Exponential Model Selection (in NMR) Using Bayesian Probability Theory G. LARRY BRETTHORST,1 WILLIAM C. HUTTON,1 JOEL R. GARBOW,1,2 JOSEPH J.H. ACKERMAN1–3

Add to Reading List

Source URL: bayes.wustl.edu

Language: English - Date: 2010-12-21 17:21:39
UPDATE