Linear classifier

Results: 393



#Item
141Machine learning / Affective computing / Artificial intelligence / Imputation / Emotion / Linear discriminant analysis / Learning classifier system / Classifier / Affect / Statistics / Feeling / Statistical classification

ACM_MobielHCI09_setz_revised3

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Source URL: mme.cure.at

Language: English - Date: 2009-08-06 18:00:00
142Statistical classification / Linear classifier / Expectation–maximization algorithm / Generative model / Bayesian inference / Regression analysis / Mixture model / Unsupervised learning / Gibbs sampling / Statistics / Machine learning / Supervised learning

Missing Data Problems in Machine Learning by Benjamin M. Marlin

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Source URL: www.cs.toronto.edu

Language: English - Date: 2009-06-29 08:36:54
143Statistical models / Econometrics / Logistic regression / Linear regression / Bayesian network / Bayesian inference / Stepwise regression / Naive Bayes classifier / Statistical classification / Statistics / Bayesian statistics / Regression analysis

20th International Congress on Modelling and Simulation, Adelaide, Australia, 1–6 December 2013 www.mssanz.org.au/modsim2013 Logistic Regression and Bayesian Approaches in Modeling Acceptance of Male Circumcision in Pu

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Source URL: www.mssanz.org.au

Language: English - Date: 2013-11-19 22:11:15
144Mathematics / Statistical classification / Convex analysis / Machine learning / AdaBoost / Convex function / Mathematical optimization / Linear classifier / Boosting / Ensemble learning / Mathematical analysis / Statistics

........................................................................... STAT 538 Midterm Exam February 19, 2pm – February 21, 2013, 11:30am • take home exam

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Source URL: www.stat.washington.edu

Language: English - Date: 2015-03-11 22:28:29
145Support vector machine / Classifier chains / Multiclass classification / Binary classification / Classifier / Linear discriminant analysis / Gain / Boosting methods for object categorization / Classification rule / Statistics / Statistical classification / Machine learning

Controlling False Alarm/Discovery Rates in Online Internet Traffic Flow Classification Daniel Nechay, Yvan Pointurier, and Mark Coates Department of Electrical and Computer Engineering McGill University, Montr´eal, Qu´

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Source URL: www.pointurier.org

Language: English - Date: 2009-01-24 03:06:42
146Machine learning / Statistical classification / Markup languages / Information retrieval / Data mining / Linear classifier / XML / Naive Bayes classifier / Java / Computing / Information science / Statistics

TMSK: Text-Miner Software Kit Nitin Indurkhya (c) 2004 Contents 1 Preliminaries

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Source URL: www.data-miner.com

Language: English - Date: 2005-08-19 14:28:59
147Information science / Information retrieval / Statistical classification / Natural language processing / Data mining / Linear classifier / Centroid / Supervised learning / Rocchio Classification / Statistics / Algebra / Machine learning

Automated Text Classification in the DMOZ Hierarchy Lachlan Henderson November 6, 2009 Abstract The growth in the availability of on-line digital text documents has prompted

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Source URL: users.cecs.anu.edu.au

Language: English - Date: 2009-12-04 02:20:11
148Theoretical computer science / Decision trees / Rough set / Data mining / Weka / Linear classifier / Feature selection / Naive Bayes classifier / Supervised learning / Statistics / Machine learning / Statistical classification

Agris on-line Papers in Economics and Informatics Volume VI Number 4, 2014 Rainfall Forecast Analysis using Rough Set Attribute Reduction

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Source URL: online.agris.cz

Language: English - Date: 2014-12-19 02:19:09
149Marketing / Search advertising / Perceptron / Pay per click / Linear classifier / Keyword advertising / Clickthrough rate / Search engine marketing / Online advertising / Internet / Internet marketing / Advertising

Catching the Drift: Learning Broad Matches from Clickthrough Data Sonal Gupta∗ Mikhail Bilenko

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Source URL: research.microsoft.com

Language: English - Date: 2010-04-12 18:33:15
150Machine learning / Regression analysis / Actuarial science / Generative model / Naive Bayes classifier / Supervised learning / Conditional probability distribution / Instrumental variable / Linear regression / Statistics / Statistical models / Econometrics

When Training and Test Sets are Different: Characterising Learning Transfer Amos J Storkey Institute of Adaptive and Neural Computation School of Informatics, University of Edinburgh

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Source URL: homepages.inf.ed.ac.uk

Language: English - Date: 2013-03-08 04:44:56
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