Support vector machine

Results: 2011



#Item
121Statistics / Regression analysis / Data analysis / Statistical classification / Estimation theory / Variance / Support vector machine / Linear regression / Prediction / Mean absolute percentage error

Microsoft Word - RA13021.doc

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Source URL: www.currentscience.ac.in

Language: English - Date: 2016-08-08 02:02:19
122Machine learning / Artificial intelligence / Learning / Statistical classification / Search algorithms / Model selection / Ensemble learning / Support vector machine / K-nearest neighbors algorithm / Feature selection / Pattern recognition / Polynomial kernel

Genome Informatics 13: 51–A Comparative Study on Feature Selection and Classification Methods Using Gene Expression Profiles

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Source URL: www.jsbi.org

Language: English - Date: 2002-12-09 05:53:38
123Machine learning / Statistics / Statistical classification / Learning / Artificial intelligence / Support vector machine / Cross-validation / Recommender system / K-nearest neighbors algorithm / Prediction / Classifier

“Why Should I Trust You?” Explaining the Predictions of Any Classifier arXiv:1602.04938v1 [cs.LG] 16 FebMarco Tulio Ribeiro

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Source URL: arxiv.org

Language: English - Date: 2016-02-16 20:24:32
124Machine learning / Statistics / Learning / Graphical models / Conditional random field / Support vector machine / Expectationmaximization algorithm

Latent Trees for Estimating Intensity of Facial Action Units Sebastian Kaltwang Imperial College London Sinisa Todorovic Oregon State University

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Source URL: ibug.doc.ic.ac.uk

Language: English - Date: 2015-11-12 06:27:16
125Statistics / Econometrics / Statistical theory / Estimation theory / Linear regression / Regression analysis / Feature selection / Model selection / Support vector machine / Oracle Database / Loss function / Natural selection

Model selection Large scale model selection Summary and open problems Model Selection and Computational Oracle Inequalities for Large Scale Problems

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Source URL: mmds-data.org

Language: English - Date: 2016-03-09 01:29:53
126Game theory / Mathematics / Applied mathematics / Stackelberg competition / Nash equilibrium / Adversary model / Support vector machine / Minimax / Mathematical optimization / Supervised learning / Best response

Mach Learn: 69–83 DOIs10994Mining adversarial patterns via regularized loss minimization Wei Liu · Sanjay Chawla

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Source URL: pmg.it.usyd.edu.au

Language: English - Date: 2011-03-12 02:03:54
127Machine learning / Statistical classification / Support vector machine / Cognition / Cognitive science / Behavior

Pattern Discovery and Large-Scale Data mining on cosmological datasets Doris Jung Lin Lee (UC Berkeley), Robert J. Brunner (UIUC) With next-generation telescopes capturing tens of TB/night of observational data, the role

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Source URL: mmds-data.org

Language: English - Date: 2016-06-23 15:50:48
128Statistics / Multivariate statistics / Mathematics / Data analysis / Computer vision / Statistical classification / Biometrics / Procrustes analysis / Support vector machine / Principal component analysis / Point distribution model / Norm

3D Shape Estimation in Video Sequences Provides High Precision Evaluation of Facial Expressions L´aszl´o A. Jeni a , Andr´as L˝orincz b , Tam´as Nagy b , Zsolt Palotai c , Judit Seb˝ok b , Zolt´an Szab´o b , D´a

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Source URL: www.realeyesit.com

Language: English - Date: 2014-01-28 08:46:13
129Statistical classification / Machine learning / Learning / Artificial intelligence / Semi-supervised learning / Support vector machine / Supervised learning / K-nearest neighbors algorithm / Linear classifier / Multi-label classification / Cross entropy / Hinge loss

Learning from Ambiguously Labeled Images Timothee Cour, Benjamin Sapp, Chris Jordan, Ben Taskar University of Pennsylvania 3330, Walnut Street {timothee,bensapp,wjc,taskar}@seas.upenn.edu

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Source URL: www.seas.upenn.edu

Language: English - Date: 2009-04-22 15:14:38
130Statistics / Econometrics / Regression analysis / Statistical classification / Actuarial science / Support vector machine / Loss function / Economic model / Prediction / Normal distribution / Forecasting / Artificial neural network

Utility-based Regression Luis Torgo1,2 and Rita Ribeiro1,3 1 LIAAD-INESC Porto LA, R. Ceuta, 118, 6., Porto, Portugal FEP, University of Porto, R. Dr. Roberto Frias, Porto, Portugal

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Source URL: www.dcc.fc.up.pt

Language: English - Date: 2012-12-13 10:18:40
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