Support vector machine

Results: 2011



#Item
151Computational neuroscience / Artificial neural networks / Statistical classification / Conference on Computer Vision and Pattern Recognition / Convolutional neural network / Support vector machine / Activity recognition

Action Recognition with Actons Jun Zhu 1,2 , Baoyuan Wang 3 , Xiaokang Yang 1,2 , Wenjun Zhang 1,2 , Zhuowen Tu 4 1 Institute of Image Communication and Network Engineering, Shanghai Jiao Tong University 2 Shanghai Key L

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Source URL: pages.ucsd.edu

Language: English - Date: 2013-11-12 18:25:52
152Machine learning / Statistical classification / Support vector machine / Learning / Transduction / Statistical learning theory / Binary classification / Pattern recognition / Artificial neural network

ADVANCES in UNIVERSUM LEARNING 1 Vladimir Cherkassky 1 and Sauptik Dhar 2 Dept. of Electrical & Computer Eng., University of Minnesota, Minneapolis, MNtelfaxemail

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Source URL: www.conference123.org

Language: English - Date: 2014-07-16 23:21:34
153Statistical classification / Naive Bayes classifier / Bayes classifier / Support vector machine / Classifier / Multiclass classification / Concept drift / Massive Online Analysis / Binary classification / Classifier chains / Nearest neighbour classifiers

Pitfalls in Benchmarking Data Stream Classification and How to Avoid Them ˇ Albert Bifet1 , Jesse Read2 , Indr˙e Zliobait˙ e3 , Bernhard Pfahringer4 , and Geoff Holmes4 1

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Source URL: perso.telecom-paristech.fr

Language: English
154Artificial neural networks / Machine learning / Computational neuroscience / Pattern recognition / Generalization error / MNIST database / Supervised learning / Convolutional neural network / Perceptron / Support vector machine / Multilayer perceptron / Statistical classification

How to speed up the learning mechanism in a connectionist model Szil´ard Vajda, Abdel Bela¨ıd Henri Poincar´e University, Nancy 1 Loria Research Center READ Group Campus Scientifique, BP. 239 Vandoeuvre les Nancy, 54

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Source URL: www.dsi.unifi.it

Language: English - Date: 2009-12-17 04:49:47
155Humancomputer interaction / Recommender systems / Social information processing / Collective intelligence / Personalization / Collaborative filtering / GroupLens Research / Support vector machine / News aggregator / Machine learning / Facebook / Automatic summarization

Proceedings Template - WORD

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Source URL: www.select.cs.cmu.edu

Language: English - Date: 2011-06-25 12:47:15
156Machine learning / Learning / Learning to rank / Ranking SVM / Support vector machine / PageRank / Ranking / Stability / Document retrieval / Information retrieval / Feature selection / Supervised learning

Microsoft Word - LR4IR2009.v4-camera-nomark.doc

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Source URL: www.sogou.com

Language: English - Date: 2016-06-28 04:30:57
157Protein domains / Bioinformatics / Protein structure / Zinc finger / HMMER / Hidden Markov model / Support vector machine

314 Genome Informatics 13: 314–Classification of C2H2 Zinc Finger Domains Using Support Vector Machines

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Source URL: www.jsbi.org

Language: English - Date: 2002-12-19 23:03:31
158Data mining / Robust statistics / Outlier / Statistical analysis / Local outlier factor / Anomaly detection / Statistical theory / K-nearest neighbors algorithm / RANSAC / Hans-Peter Kriegel / Support vector machine / Cluster analysis

AUTOMATIC OUTLIER DETECTION IN MUSIC GENRE DATASETS Yen-Cheng Lu1 Chih-Wei Wu2 Chang-Tien Lu1

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Source URL: wp.nyu.edu

Language: English - Date: 2016-08-16 16:20:31
159Hilbert space / Operator theory / Statistical classification / Support vector machine / NP / Feature selection / Machine learning / Oracle machine / Kernel method / Tree kernel / Positive-definite kernel

Towards Using Reranking in Hierarchical Classification Qi Ju, Richard Johansson, and Alessandro Moschitti DISI, University of Trento, Italy {qi,johansson,moschitti}@disi.unitn.it

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Source URL: livingknowledge.europarchive.org

Language: English - Date: 2012-01-23 06:47:21
160Internet marketing / Support vector machine / Learning to rank / Quality Score / Online advertising / Search advertising / Pay per click / Targeted advertising / Feature selection / Advertising / Ranking

To Swing or not to Swing: Learning when (not) to Advertise Andrei Broder† , Massimiliano Ciaramita‡ , Marcus Fontoura, Evgeniy Gabrilovich† , Vanja Josifovski† , Donald Metzler† , Vanessa Murdock‡ , Vassilis

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Source URL: fontoura.org

Language: English - Date: 2010-02-23 00:22:02
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