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Support vector machine
Results: 2011

#	Item
181	Metro Maps of Information Dafna Shahaf Stanford University and Carlos Guestrin University of Washington Add to Reading List Source URL: www.cs.huji.ac.il Language: English - Date: 2013-03-04 02:02:13 Coherence Map Support vector machine Coverage map
182	Journal of Machine Learning Research1261 Submitted 10/10; Revised 2/11; Published 4/11 Learning from Partial Labels Timothee Cour Add to Reading List Source URL: www.seas.upenn.edu Language: English - Date: 2011-05-16 14:15:28 Machine learning Semi-supervised learning Support vector machine Supervised learning Multi-label classification Multiple instance learning Stability
183	Hinge-loss Markov Random Fields: Convex Inference for Structured Prediction Stephen H. Bach Bert Huang Add to Reading List Source URL: psl.umiacs.umd.edu Language: English - Date: 2013-11-10 21:52:40 Graphical models Markov models Probability theory Markov random field Structured prediction Bayesian network Random field Markov chain Support vector machine Markov logic network Algorithm Hidden Markov model
184	September 14, :56 WSPC - Proceedings Trim Size: 9.75in x 6.5in Add to Reading List Source URL: www.jsbi.org Language: English - Date: 2009-12-21 01:59:54 Mathematical optimization Operations research Machine learning Statistical classification Support vector machine Positive-definite kernel Hyperparameter optimization Kernel method Constructible universe Dynamic programming Distribution
185	CHARACTERISTICS IN FLIGHT DATA ESTIMATION WITH LOGISTIC REGRESSION AND SUPPORT VECTOR MACHINES Claus Gwiggner, Ecole Polytechnique, LIX, Palaiseau, France Gert Lanckriet, University of Berkele Add to Reading List Source URL: eceweb.ucsd.edu Language: English - Date: 2015-07-31 19:00:25 Statistical classification Regression analysis Machine learning Econometrics Support vector machine Logistic regression Binary classification Regression Predictive analytics Least squares support vector machine
186	Mathematical Modelling of Generalization Martin Anthony Department of Mathematics, London School of Economics Houghton Street, London WC2A 2AE, UK www.maths.lse.ac.uk/Personal/martin Add to Reading List Source URL: www.maths.lse.ac.uk Language: English - Date: 2002-09-24 16:32:03 Machine learning Statistical classification Computational learning theory Decision theory Rademacher complexity Stability VC dimension Support vector machine Sample complexity Generalization error VapnikChervonenkis theory
187	Learning Discriminative Fisher Kernels Laurens van der Maaten Pattern Recognition & Bio-informatics Laboratory, Delft University of Technology, THE NETHERLANDS Add to Reading List Source URL: lvdmaaten.github.io Language: English - Date: 2016-07-16 15:30:43 Estimation theory Machine learning Statistical classification Fisher kernel Categorical data Pattern recognition Kernel method Positive-definite kernel Support vector machine Maximum likelihood estimation Kernel Likelihood function
188	Metric Learning to Rank Brian McFee Department of Computer Science and Engineering, University of California, San Diego, CAUSA Gert Lanckriet Add to Reading List Source URL: eceweb.ucsd.edu Language: English - Date: 2015-07-31 19:00:27 Machine learning Search algorithms Structured prediction Learning Learning to rank Support vector machine K-nearest neighbors algorithm Ranking SVM
189	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 Add to Reading List Source URL: mmds-data.org Language: English - Date: 2016-06-23 15:50:48 Machine learning Statistical classification Support vector machine
190	EFFICIENT MONTE CARLO OPTIMIZATION FOR MULTI-LABEL CLASSIFIER CHAINS Jesse Read, Luca Martino∗ David Luengo∗ Dept. of Signal Theory and Communications Add to Reading List Source URL: perso.telecom-paristech.fr Language: English Machine learning Statistical classification Classifier chains Multi-label classification Pattern recognition Support vector machine Supervised learning Probabilistic classification Maximum a posteriori estimation Naive Bayes classifier Structured support vector machine

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