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Linear classifier
Results: 393

#	Item
221	Building Multiclass Nonlinear Classifiers with GPUs Ignacio Arnaldo CSAIL, MIT Cambridge, MA[removed]removed] Add to Reading List Source URL: groups.csail.mit.edu Language: English - Date: 2013-11-16 22:26:00 Machine learning Graphics hardware Video cards Linear classifier CUDA Receiver operating characteristic Mathematical optimization Function Shunting-yard algorithm Statistics Statistical classification Mathematics
222	Co-Training for Domain Adaptation Minmin Chen, Kilian Q. Weinberger Department of Computer Science and Engineering Washington University in St. Louis St. Louis, MO 63130 Add to Reading List Source URL: machinelearning.wustl.edu Language: English - Date: 2013-03-22 13:15:05 Supervised learning Co-training Statistical classification Active learning Boosting Linear classifier Pattern recognition Machine learning Artificial intelligence Learning
223	Analysis of the IJCNN 2011 UTL challenge Add to Reading List Source URL: www.nrl.navy.mil Language: English - Date: 2013-08-21 20:51:30 Computational statistics Semi-supervised learning Unsupervised learning Pattern recognition Supervised learning Artificial neural network Transduction Random forest Linear classifier Machine learning Statistics Artificial intelligence
224	Egocentric Video Biometrics arXiv:1411.7591v1 [cs.CV] 27 Nov 2014 Yedid Hoshen Shmuel Peleg Add to Reading List Source URL: arxiv.org Language: English - Date: 2014-11-30 21:00:21 Biometrics Medicine Gait analysis Support vector machine Speaker recognition Gesture recognition Optical flow Classification rule Linear classifier Statistics Statistical classification Artificial intelligence
225	Automatically Recognizing On-Ball Screens Armand McQueen, Jenna Wiens, and John Guttag Massachusetts Institute of Technology Cambridge, MA, USA, 02139 Email: [removed], [removed], [removed] Abstract Add to Reading List Source URL: www.sloansportsconference.com Language: English - Date: 2014-02-04 23:14:45 Parts of speech Linear classifier Screen Support vector machine Classifier Statistics Statistical classification Machine learning
226	SUPPORT VECTOR MACHINE AND MAXIMUM LIKELIHOOD APPROACHES TO F-MEASURE OPTIMIZATION Trevor Rose Supervisor: A/ Prof. Spiridon Penev Add to Reading List Source URL: www.ontotext.com Language: English - Date: 2014-08-19 16:38:16 Linear classifier Support vector machine Binary classification Principle of maximum entropy Automatic summarization Margin classifier Random subspace method Statistics Statistical classification Machine learning
227	Automatic Content-based Categorization of Wikipedia Articles Zeno Gantner University of Hildesheim Machine Learning Lab [removed] Add to Reading List Source URL: www.aclweb.org Language: English - Date: 2010-06-15 09:20:29 Machine learning Knowledge representation Multi-label classification Support vector machine Categorization Multiclass classification Linear classifier Wikipedia Document classification Statistics Statistical classification Artificial intelligence
228	Evaluating Multi-label Classification of Incident-related Tweets Axel Schulz+ Eneldo Loza Mencía+ Thanh Tung Dang† Benedikt Schmidt Telecooperation Lab Technische Universität Darmstadt Germany Add to Reading List Source URL: ceur-ws.org Language: English - Date: 2014-04-01 18:06:30 Classifier chains Multi-label classification Multiclass classification Support vector machine Precision and recall Document classification Linear classifier Naive Bayes classifier Categorization Statistics Statistical classification Machine learning
229	Journal of Machine Learning Research[removed]3181 Submitted 11/13; Revised 4/14; Published[removed]Do we Need Hundreds of Classifiers to Solve Real World Classification Problems? Add to Reading List Source URL: jmlr.org Language: English - Date: 2014-11-02 15:45:55 Ensemble learning Parts of speech Naive Bayes classifier Linear discriminant analysis Boosting Support vector machine Classifier Perceptron Random forest Statistics Machine learning Statistical classification
230	In Proceedings of the 12th ACM Conference on Computer and Communications Security, November 2005, pp[removed]Keyboard Acoustic Emanations Revisited Li Zhuang, Feng Zhou, J. D. Tygar University of California, Berkeley { Add to Reading List Source URL: www.cs.berkeley.edu Language: English - Date: 2006-02-11 16:25:13 Computing Input/output Computational linguistics User interface techniques Computer keyboard Linear classifier Typing Speech recognition Supervised learning Machine learning Statistics Humanâ€“computer interaction

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