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Support vector machine
Results: 2011

#	Item
211	Classiﬁcation and Feature Selection on Matrix Data with Application to Gene-Expression Analysis Sepp Hochreiter Klaus Obermayer Fakult¨at f¨ Add to Reading List Source URL: www.bioinf.jku.at Language: English - Date: 2011-08-11 02:39:02 Linear algebra Vectors Numerical linear algebra Statistical classification Support vector machine Euclidean vector Basis Kernel Vector space Isotope lists 73-96
212	SVM Tapped Density Tester The ERWEKA SVM has been designed for measuring the tapped volume and tapped density of powders, granules and similar products. The ERWEKA SVM series is available with one or two glass cylinders Add to Reading List Source URL: www.erweka.com Language: English - Date: 2016-03-28 11:21:30 Statistical classification Support vector machine SVM
213	Fairness Constraints: A Mechanism for Fair Classification Muhammad Bilal Zafar Isabel Valera Manuel Gomez Rodriguez Krishna P. Gummadi Add to Reading List Source URL: www.mpi-sws.org Language: English - Date: 2015-06-17 08:07:07 Statistical classification Support vector machine Naive Bayes classifier Classifier Fairness measure Decision boundary Supervised learning
214	Proceedings of the EMNLP 2014 Workshop on Modeling Large Scale Social Interaction in Massively Open Online Courses (EMNLP-MOOC) Add to Reading List Source URL: cses.informatik.hu-berlin.de Language: English - Date: 2014-12-15 08:58:07 Online education Open educational resources Massive open online course EdX Coursera Iversity Clickstream Machine learning High school dropouts Support vector machine Educational technology
215	Learning with Marginalized Corrupted Features Laurens van der Maaten Delft University of Technology, Mekelweg 4, 2628 CD Delft, THE NETHERLANDS Minmin Chen Add to Reading List Source URL: lvdmaaten.github.io Language: English - Date: 2016-07-16 15:30:43 Statistical classification Probability distributions Exponentials Machine learning Linear classifier Pattern recognition Support vector machine Deep learning Natural exponential family Poisson distribution Normal distribution Loss function
216	Differential Dementia Diagnosis on Incomplete Data with Latent Trees Christian Ledig1 , Sebastian Kaltwang1 , Antti Tolonen2 , Juha Koikkalainen3 , Philip Scheltens4 , Frederik Barkhof4 , Hanneke Rhodius-Meester4 , Betty Add to Reading List Source URL: ibug.doc.ic.ac.uk Language: English - Date: 2016-07-01 12:05:05 Machine learning Statistical analysis Statistical classification Statistical models Model selection Imputation Support vector machine Cross-validation Mixture model Data analysis Standard deviation Outlier
217	A Pruned Problem Transformation Method for Multi-label Classification Jesse Read University of Waikato, Hamilton, New Zealand Add to Reading List Source URL: perso.telecom-paristech.fr Language: English - Date: 2010-10-25 05:10:52 Statistical classification Machine learning Ensemble learning Multi-label classification Support vector machine AdaBoost Multiclass classification Naive Bayes classifier Boosting K-nearest neighbors algorithm Document classification Classifier chains
218	Deep Features to Classify Skin Lesions Jeremy Kawahara, A¨ıcha BenTaieb, and Ghassan Hamarneh Medical Image Analysis Lab, School of Computing Science, Simon Fraser University, Canada ABSTRACT Diagnosing an unknown skin Add to Reading List Source URL: www.cs.sfu.ca Language: English - Date: 2016-02-06 13:56:21 RTT Computational neuroscience Computer vision Convolutional neural network Deep learning ImageNet Melanoma Dermatoscopy Support vector machine Image segmentation K-nearest neighbors algorithm Feature
219	MONAURAL SEPARATION AND CLASSIFICATION OF NON-LINEAR TRANSFORMED INDEPENDENT SIGNALS: AN SVM PERSPECTIVE Sepp Hochreiter and Michael C. Mozer Department of Computer Science University of Colorado Boulder, CO 80309 Add to Reading List Source URL: www.bioinf.jku.at Language: English - Date: 2013-01-23 02:26:38 Signal processing Statistical models Convex optimization Operations research Independent component analysis Wavelet Linear programming Support vector machine Matrix Machine learning Sparse approximation Sparse dictionary learning
220	A Short SVM (Support Vector Machine) Tutorial j.p.lewis CGIT Lab / IMSC U. Southern California version 0.zz dec 2004 Add to Reading List Source URL: scribblethink.org Language: English - Date: 2008-03-24 23:35:11 Mathematical optimization Statistical classification Support vector machine KarushKuhnTucker conditions Lagrange multiplier Duality Linear classifier Hyperplane Constraint Supporting hyperplane Vector space Decision boundary

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