Support vector machine

Results: 2011



#Item
41Statistical classification / Learning / Support vector machine / Polynomial kernel / Acute myeloid leukemia / Kernel method / Decision boundary / Multiclass classification

Appendix A. Introduction to Binary Support Vector Machines Below we summarize the main ideas behind binary Support Vector Machines via a short theoretical description followed by an example. For a detailed review of SVMs

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Source URL: www.dsl-lab.org

Language: English - Date: 2007-03-08 11:51:27
42Artificial intelligence / Face recognition / Learning / Machine learning / Statistical classification / Support vector machine / FERET / Computer vision / Artificial neural network / Facial recognition system / Perceptron / Pattern recognition

Top-down facilitation of multistage decisions for face recognition Brian Parks and Terrance Boult Preprint of paper to appear at IEEE Int. Conf on Biometrics Theory Applications and Systems (BTASAbstract— Visua

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Source URL: www.vast.uccs.edu

Language: English - Date: 2011-02-20 12:01:24
43Statistical classification / Mathematical analysis / Analysis / Mathematics / Ensemble learning / Mathematical optimization / Linear algebra / Convex analysis / Support vector machine / Linear classifier / Norm / AdaBoost

LNAICatenary Support Vector Machines

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Source URL: rlair.cs.ucr.edu

Language: English - Date: 2011-01-19 19:25:43
44Statistics / Estimation theory / Statistical theory / Learning / Machine learning / Nonparametric statistics / Statistical classification / Boredom / Emotions / Regression analysis / Linear regression / Support vector machine

Proceedings Template - WORD

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Source URL: www.multimediaeval.org

Language: English - Date: 2012-02-08 10:38:04
45Algebra / Mathematics / Machine learning / Linear algebra / Statistical classification / Support vector machines / Matrices / Matrix / Kernel method / Kernel / Test set / Linear map

Contents 1 Introduction 2 The

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Source URL: www.bioinf.jku.at

Language: English - Date: 2013-04-30 01:33:38
46Computing / Software / Information / Statistical classification / Social media / Web 2.0 / Twitter / Social networking services / Support vector machine / Tweet / Word-sense disambiguation / Naive Bayes classifier

Detecting Life Events in Feeds from Twitter Barbara Di Eugenio Nick Green Rajen Subba

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Source URL: nlp.cs.uic.edu

Language: English - Date: 2013-08-14 12:27:26
47Statistics / Probability distributions / Statistical classification / Stable distributions / Machine learning / Search algorithms / KullbackLeibler divergence / K-nearest neighbors algorithm / Normal distribution / Multivariate normal distribution / Pattern recognition / Support vector machine

Proc. of the 12th Int. Conference on Digital Audio Effects (DAFx-09), Como, Italy, September 1-4, 2009 INFORMED SELECTION OF FRAMES FOR MUSIC SIMILARITY COMPUTATION Klaus Seyerlehner, Tim Pohle Gerhard Widmer, Dominik

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Source URL: www.cp.jku.at

Language: English - Date: 2009-10-07 06:10:34
48Machine learning / Artificial intelligence / Learning / Ensemble learning / Statistical classification / AdaBoost / Support vector machine / Boosting / Kernel method / Voxel / Image segmentation / Functional magnetic resonance imaging

1 Comparison of AdaBoost and Support Vector Machines for Detecting Alzheimer’s Disease through Automated Hippocampal Segmentation Jonathan H. Morra, Zhuowen Tu, Liana G. Apostolova, Amity E. Green, Arthur W. Toga, and

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Source URL: pages.ucsd.edu

Language: English - Date: 2010-04-14 20:51:16
49Artificial intelligence / Statistical classification / Learning / Machine learning / Parts of speech / Classifier chains / Classifier / Kaggle / Multi-label classification / Support vector machine / Data

Kaggle WISE2014. 2nd-place Solution Team anttip: Antti Puurula(1) and Jesse ReadUniversity of Waikato, New Zealand (2) Aalto University and HIIT, Finland

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Source URL: users.ics.aalto.fi

Language: English - Date: 2014-10-13 03:48:12
50Machine learning / Statistics / Learning / Regression analysis / Structured prediction / Support vector machines / Statistical classification / Ordinal regression / Loss function / Mathematical optimization / Convex optimization / Loss functions for classification

Large-margin Structured Learning for Link Ranking Stephen H. Bach Bert Huang Lise Getoor Department of Computer Science University of Maryland College Park, MD 20742

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Source URL: stephenbach.net

Language: English - Date: 2013-11-15 12:01:19
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