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Support vector machine
Results: 2011

#	Item
631	Non-linear Label Ranking for Large-scale Prediction of Long-Term User Interests Nemanja Djuric† , Mihajlo Grbovic† , Vladan Radosavljevic† , Narayan Bhamidipati† , Slobodan Vucetic‡ † Yahoo! Labs, Sunnyvale, Add to Reading List Source URL: labs.yahoo.com Language: English - Date: 2014-04-21 20:48:13 Machine learning Human–computer interaction Learning to rank Personalization Level of measurement Mixture model Support vector machine Statistics Information science Information retrieval
632	Unsupervised and Semi-supervised Multi-class Support Vector Machines Linli Xu∗ Dale Schuurmans School of Computer Science Add to Reading List Source URL: webdocs.cs.ualberta.ca Language: English - Date: 2005-06-06 21:10:08 Machine learning Operations research Convex analysis Statistical classification Support vector machine Semidefinite programming Convex optimization Quadratic programming Eigenvalues and eigenvectors Mathematical optimization Statistics Mathematics
633	Relieving the Computational Bottleneck: Joint Inference for Event Extraction with High-Dimensional Features Deepak Venugopal and Chen Chen and Vibhav Gogate and Vincent Ng Department of Computer Science and Human Languag Add to Reading List Source URL: www.hlt.utdallas.edu Language: English - Date: 2014-08-27 12:24:20 Knowledge Computational linguistics Speech recognition Reasoning Arguments N-gram Support vector machine Inference Markov logic network Logic Science Logical consequence
634	Protein Phosphorylation Site Prediction via Feature Discovery Support Vector Machine Yi Shi1 , Bo Yuan2 , Guohui Lin1 , Dale Schuurmans1 1 Department of Computing Science Add to Reading List Source URL: webdocs.cs.ualberta.ca Language: English* - Date: 2012-09-28 23:25:21 Protein kinases Statistical classification Bioinformatics Nitrogen metabolism Phosphorus Phosphorylation Support vector machine Threonine Amino acid Biology Chemistry Statistics
635	Distributed Confidence-Weighted Classification on MapReduce Nemanja Djuric Temple University Philadelphia, PA, USA Add to Reading List Source URL: labs.yahoo.com Language: English - Date: 2014-09-28 00:40:17 Statistical classification Distributed computing architecture MapReduce Parallel computing Machine learning Support vector machine Linear classifier Perceptron Apache Hadoop Statistics Computing Concurrent computing
636	1 Real-time Discriminative Background Subtraction Li Cheng, Member, Minglun Gong Member, Dale Schuurmans, Terry Caelli Fellow Add to Reading List Source URL: webdocs.cs.ualberta.ca Language: English - Date: 2010-12-15 01:15:33 Computational statistics Segmentation Support vector machine Supervised learning Machine learning Stochastic gradient descent Statistics Image processing Learning
637	Multi-label Classification with Output Kernels Yuhong Guo 1 1 Add to Reading List Source URL: webdocs.cs.ualberta.ca Language: English - Date: 2013-07-27 14:40:14 Abstract algebra Operator theory Singular value decomposition Quantum mechanics Support vector machine Eigenvalues and eigenvectors Positive-definite kernel Vector space Matrix Algebra Mathematics Linear algebra
638	HYPERPARAMETERS: OPTIMIZE, OR INTEGRATE OUT? David J.C. MacKay Cavendish Laboratory, Cambridge, CB3 0HE. United Kingdom. Add to Reading List Source URL: bayes.wustl.edu Language: English - Date: 2010-12-21 17:21:30 Estimation theory Statistical inference Normal distribution Mixture model Hyperparameter Maximum likelihood Variational Bayesian methods Least squares support vector machine Statistics Bayesian statistics Statistical theory
639	Trading Representability for Scalability: Adaptive Multi-Hyperplane Machine for Nonlinear Classification Zhuang Wang Nemanja Djuric Add to Reading List Source URL: astro.temple.edu Language: English - Date: 2013-03-26 23:23:56 Learning Neural networks Support vector machines Kernel methods Linear classifier Artificial neuron Active learning Least squares support vector machine Kernel adaptive filter Machine learning Statistics Statistical classification
640	Maximum Margin Bayesian Networks Yuhong Guo Department of Computing Science University of Alberta Add to Reading List Source URL: webdocs.cs.ualberta.ca Language: English - Date: 2005-06-06 21:14:41 Machine learning Networks Statistical models Bayesian network Markov random field Hidden Markov model Markov chain Support vector machine Supervised learning Statistics Graphical models Bayesian statistics

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