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Linear classifier
Results: 393

#	Item
301	Local Similarity Discriminant Analysis Luca Cazzanti Applied Physics Lab, University of Washington, Seattle WA[removed]removed] Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:25:23 Multivariate statistics Bayesian statistics Statistical theory Linear discriminant analysis Naive Bayes classifier Support vector machine Shape context Classification rule Pattern recognition Statistics Statistical classification Machine learning
302	Two-view Feature Generation Model for Semi-supervised Learning Rie Kubota Ando IBM T.J. Watson Research Center, Hawthorne, New York, USA Tong Zhang Yahoo Inc., New York, New York, USA Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:25:57 Supervised learning Linear classifier Semi-supervised learning Discriminative model Naive Bayes classifier Co-training Linear regression Support vector machine Statistics Machine learning Statistical classification
303	PAC-Bayesian Learning of Linear Classifiers Pascal Germain [removed] Alexandre Lacasse [removed] Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2009-05-18 12:16:54 Ensemble learning AdaBoost Linear classifier Naive Bayes classifier Boosting Normal distribution Support vector machines LPBoost Margin classifier Machine learning Statistics Statistical classification
304	Cost-sensitive Multi-class Classification from Probability Estimates Deirdre B. O’Brien Google Inc., Mountain View, CA [removed] Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-04-29 11:48:34 Cross-validation Maximum likelihood Naive Bayes classifier Linear discriminant analysis Expected value Sampling Classification rule Variance Statistics Statistical classification Matrix
305	A Fast Iterative Algorithm for Fisher Discriminant using Heterogeneous Kernels Glenn Fung [removed] Murat Dundar Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:20:05 Statistical classification Support vector machine Linear classifier Least squares support vector machine Linear discriminant analysis Sequential minimal optimization Kernel Positive-definite kernel Reproducing kernel Hilbert space Statistics Algebra Mathematics
306	Active Learning Using Pre-clustering Hieu T. Nguyen TAT @ SCIENCE . UVA . NL Arnold Smeulders SMEULDERS @ SCIENCE . UVA . NL Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:19:42 Cluster analysis Supervised learning K-means clustering Semi-supervised learning Statistical classification Linear classifier Support vector machine Book:Machine Learning - The Complete Guide CURE data clustering algorithm Statistics Machine learning Computational statistics
307	Identifying Suspicious URLs: An Application of Large-Scale Online Learning Justin Ma JTMA @ CS . UCSD . EDU Lawrence K. Saul SAUL @ CS . UCSD . EDU Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2009-05-18 12:16:55 Machine learning Learning Perceptron Support vector machine Linear classifier Phishing Web crawler Statistics Statistical classification Artificial intelligence
308	Active Learning of Label Ranking Functions Klaus Brinker [removed] International Graduate School of Dynamic Intelligent Systems, University of Paderborn, 33098 Paderborn, Germany Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:20:01 Margin classifier Supervised learning Support vector machine Linear classifier Active learning Learning to rank Binary classification Naive Bayes classifier Total order Statistics Machine learning Statistical classification
309	Learning to Classify with Missing and Corrupted Features Ofer Dekel Microsoft Research, 1 Microsoft Way, Redmond, WA[removed]USA Ohad Shamir The Hebrew University, Jerusalem 91904, Israel Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-05-13 01:35:44 Linear classifier Support vector machine Winnow Linear programming Statistics Statistical classification Perceptron
310	A Support Vector Method for Multivariate Performance Measures Thorsten Joachims [removed] Cornell University, Dept. of Computer Science, 4153 Upson Hall, Ithaca, NY[removed]USA Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:15:47 Artificial intelligence Support vector machines Learning Supervised learning Mathematical optimization Margin classifier Linear classifier Structured SVM Empirical risk minimization Statistics Machine learning Statistical classification

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