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Linear classifier
Results: 393

#	Item
291	Discriminative versus Generative Parameter and Structure Learning of Bayesian Network Classifiers Franz Pernkopf PERNKOPF @ TUGRAZ . AT Department of Electrical Engineering, Graz University of Technology, Inffeldgasse 16 Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:14:47 Statistical models Statistical classification Naive Bayes classifier Generative model Bayesian network Pattern recognition Discriminative model Random naive Bayes Linear classifier Statistics Machine learning Bayesian statistics
292	A MFoM Learning Approach to Robust Multiclass Multi-Label Text Categorization Sheng Gao [removed] Institute for Infocomm Research, 21 Heng Mui Keng Terrace, Singapore[removed]Wen Wu Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:19:52 Binary classification Linear classifier Multiclass classification Multi-label classification Linear discriminant analysis Receiver operating characteristic Statistics Statistical classification Support vector machine
293	Discriminative Learning for Differing Training and Test Distributions Steffen Bickel Michael Br¨ uckner Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:25:37 Econometrics Estimation theory Maximum likelihood Linear classifier Loss function Support vector machine Normal distribution Spectral theory of ordinary differential equations Statistics Statistical theory Statistical classification
294	Announcements • See Chapter 5 of Duda, Hart, and Stork. • Tutorial by Burge linked to on web page. Supervised Learning Add to Reading List Source URL: www.cs.umd.edu Language: English - Date: 2009-04-30 12:01:56 Statistical classification Linear algebra Convex analysis Abstract algebra Convex geometry Perceptron Support vector machine Vector space Linear classifier Algebra Mathematics Statistics
295	Uncovering Shared Structures in Multiclass Classification Yonatan Amit School of Computer Science and Engineering, The Hebrew University, Israel Michael Fink Center for Neural Computation, The Hebrew University, Israel Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:25:33 Support vector machine Singular value decomposition Trace Singular value Matrix Linear classifier Rank Norm Linear map Algebra Mathematics Linear algebra
296	Journal of Japanese Society for Artificial Intelligence, 14(5):[removed], September, [removed]In Japanese, translation by Naoki Abe.) A Short Introduction to Boosting Yoav Freund Robert E. Schapire Add to Reading List Source URL: www.site.uottawa.ca Language: English - Date: 2003-02-24 21:24:34 Boosting Yoav Freund Decision stump Support vector machine Statistical classification Linear classifier BrownBoost Margin classifier Machine learning Ensemble learning AdaBoost
297	Efficient Learning of Domain-invariant Image Representations Judy Hoffman UCB EECS & ICSI [removed] Add to Reading List Source URL: jeffdonahue.com Language: English - Date: 2014-06-22 21:47:24 Linear classifier Machine learning Margin classifier Statistics Statistical classification Support vector machine
298	Multi-View Learning over Structured and Non-Identical Outputs Kuzman Ganchev∗ ∗ Computer & Information Science Add to Reading List Source URL: uai2008.cs.helsinki.fi Language: English - Date: 2008-05-16 11:54:26 Statistical classification Neural networks Co-training Linear classifier Perceptron Supervised learning CoBoosting Semi-supervised learning Stability Statistics Machine learning Computational statistics
299	Sparse Probabilistic Classifiers Romain H´ erault [removed] HEUDIASYC, Universit´e de Technologie de Compi`egne, BP 20529, 60205 Compi`egne cedex, France Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:24:01 Statistical theory Regression analysis Econometrics Logistic regression Linear classifier Logistic function Support vector machine Pattern recognition Linear discriminant analysis Statistics Statistical classification Machine learning
300	What are SVMs? Why SVMs? Examples Add to Reading List Source URL: datamining.anu.edu.au Language: English - Date: 2011-05-31 01:27:15 Receiver operating characteristic Linear classifier Statistics Statistical classification Support vector machine

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