Support vector machine

Results: 2011



#Item
761Transmission Control Protocol / Internet protocol suite / Support vector machine / Binary classification / Classifier / Boosting methods for object categorization / Statistics / Statistical classification / Machine learning

iand-client-diagnostics-IB2COM.dvi

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Source URL: titania.ctie.monash.edu.au

Language: English - Date: 2011-11-24 20:10:50
762Emotion / Affective computing / Artificial intelligence / Affect / Humor / Support vector machine / Valence / Mind / Feeling / Philosophy of mind

15th Argentine Symposium on Technology, AST[removed]A Method for Daily Normalization in Emotion Recognition Leandro A. Bugnon1† , Rafael A. Calvo2 , and Diego H. Milone1 1

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Source URL: rafaelacalvo.files.wordpress.com

Language: English - Date: 2015-03-25 04:43:19
763Linear classifier / Support vector machine / Naive Bayes classifier / Supervised learning / Pattern recognition / Principal component analysis / Margin classifier / Random subspace method / Statistics / Statistical classification / Machine learning

Automatic Artifact Identification in Image Communication Using Watermarking and Classification Algorithms Shabnam Sodagari, G. Hossein Hajimirsadeghi, Alireza Nasiri Avanaki Control and Intelligent Processing Center of E

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Source URL: www.cs.sfu.ca

Language: English - Date: 2008-09-06 06:26:22
764Semi-supervised learning / Supervised learning / Support vector machine / Bayes estimator / Naive Bayes classifier / Gaussian function / Statistics / Machine learning / Statistical classification

A Transductive Bound for the Voted Classifier with an Application to Semi-supervised Learning Massih R. Amini Laboratoire d’Informatique de Paris 6 Universit´e Pierre et Marie Curie, Paris, France

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Source URL: ama.liglab.fr

Language: English - Date: 2013-02-27 04:55:33
765Statistical classification / Linear algebra / Vectors / Support vector machine / Vector space / Linear discriminant analysis / Inner product space / Algebra / Statistics / Mathematics

Estudos e Documentos de Trabalho Working Papers 22 | 2008 ANALYSIS OF THE PREDICTORS OF DEFAULT FOR PORTUGUESE FIRMS

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Source URL: www.bportugal.pt

Language: English - Date: 2012-04-13 06:17:15
766Boltzmann machine / Supervised learning / Feature selection / Pattern recognition / Generative model / Neural network / Unsupervised learning / Support vector machine / Linear classifier / Statistics / Machine learning / Artificial intelligence

Learning and Selecting Features Jointly with Point-wise Gated Boltzmann Machines Kihyuk Sohn Guanyu Zhou Chansoo Lee Honglak Lee

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Source URL: jmlr.org

Language: English - Date: 2013-08-14 01:36:44
767Binary classification / Transmission Control Protocol / Support vector machine / Naive Bayes classifier / Packet loss / Statistics / Statistical classification / Machine learning

International Journal of Computer Networks & Communications (IJCNC) Vol.4, No.3, May[removed]AUTOMATED INFERENCE SYSTEM FOR END-TOEND DIAGNOSIS OF NETWORK PERFORMANCE ISSUES IN CLIENT-TERMINAL DEVICES Chathuranga Widanapat

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Source URL: airccse.org

Language: English - Date: 2012-05-31 07:36:07
768Fair division / Shapley value / Statistical classification / Feature selection / Cooperative game / Random forest / Support vector machine / Gain / Stepwise regression / Statistics / Machine learning / Game theory

LETTER Communicated by James Theiler Feature Selection via Coalitional Game Theory Shay Cohen

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Source URL: www2.mta.ac.il

Language: English - Date: 2010-06-22 06:48:22
769Computational statistics / Stochastic gradient descent / Stochastic optimization / Mathematical optimization / Support vector machine / Distributed computing / Algorithm / Statistics / Machine learning / Mathematics

Communication Efficient Distributed Machine Learning with the Parameter Server Mu Li∗† , David G. Andersen∗ , Alexander Smola∗‡ , and Kai Yu† ∗ Carnegie Mellon University † Baidu ‡ Google

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Source URL: www.cs.cmu.edu

Language: English - Date: 2014-11-05 12:24:13
770Support vector machine / Naive Bayes classifier / Classifier / Binary classification / Supervised learning / Feature selection / Linear discriminant analysis / Cross-validation / Random subspace method / Statistics / Machine learning / Statistical classification

SlimPLS: A Method for Feature Selection in Gene Expression-Based Disease Classification Michael Gutkin1, Ron Shamir1*, Gideon Dror2 1 Blavatnik school of Computer Science, Tel Aviv University, Tel Aviv, Israel, 2 School

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Source URL: www2.mta.ac.il

Language: English - Date: 2010-08-18 18:53:13
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