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Linear classifier
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#	Item
11	A User’s Guide to Support Vector Machines Asa Ben-Hur Department of Computer Science Colorado State University Jason Weston Add to Reading List Source URL: pyml.sourceforge.net Language: English - Date: 2008-06-02 17:29:26 Statistical classification Support vector machine Linear classifier Kernel method Polynomial kernel Margin classifier Perceptron Linear separability Decision boundary Kernel Vector space Positive-definite kernel
12	Semi-Supervised Learning with Adversarially Missing Label Information Umar Syed Ben Taskar Department of Computer and Information Science Add to Reading List Source URL: www.seas.upenn.edu Language: English - Date: 2010-11-04 10:51:45 Machine learning Manifold regularization Semi-supervised learning Supervised learning Stability Pattern recognition Support vector machine Linear classifier Multiple instance learning Loss function Statistical learning theory Generalization error
13	Classification of Passes in Football Matches using Spatiotemporal Data Michael Horton Joachim Gudmundsson Add to Reading List Source URL: www.large-scale-sports-analytics.org Language: English - Date: 2016-03-23 17:27:31 Statistical classification Machine learning Regression analysis Econometrics Support vector machine Multinomial logistic regression Supervised learning Margin classifier Classifier Prediction Linear discriminant analysis Linear regression
14	Feature-Level Domain Adaptation Wouter M. Kouw arXiv:1512.04829v1 [stat.ML] 15 Dec 2015 Add to Reading List Source URL: arxiv.org Language: English - Date: 2015-12-15 20:29:58 Machine learning Statistical classification Domain adaptation Support vector machine Pattern recognition Mode Linear classifier Supervised learning Naive Bayes classifier
15	Efficient Program Compilation through Machine Learning Techniques Gennady Pekhimenko1? and Angela Demke Brown2 1 2 Add to Reading List Source URL: iwapt.org Language: English - Date: 2009-08-18 09:20:04 Compiler construction Programming language implementation Statistical classification Machine learning Heuristic Optimizing compiler K-nearest neighbors algorithm Linear classifier Compiler Data transformation
16	Paper Title (use style: paper title) Add to Reading List Source URL: mesl.ucsd.edu Language: English - Date: 2013-02-12 19:07:42 Statistical classification Formal sciences Control theory Cybernetics Linear discriminant analysis Process variation Linear classifier
17	Optical Character Recognition System for Amharic Documents Add to Reading List Source URL: cvit.iiit.ac.in Language: English - Date: 2015-08-05 03:17:19 Statistical classification Machine learning Artificial intelligence applications Pattern recognition Linear discriminant analysis Optical character recognition Feature extraction Support vector machine Amharic Linear classifier
18	JMLR: Workshop and Conference Proceedings 25:269–284, 2012 Asian Conference on Machine Learning On Using Nearly-Independent Feature Families for High Precision and Confidence Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2012-12-03 17:28:19 Statistical classification Machine learning Linear classifier Precision and recall Support vector machine Binary classification F1 score Supervised learning Classifier Probability distribution
19	Probabilistic 3D Polyp Detection in CT Images: The Role of Sample Alignment Zhuowen Tu1 , Xiang Sean Zhou3 , Adrian Barbu2 , Luca Bogoni3 , Dorin Comaniciu2 1 Lab of Neuro Imaging, Dept. of Neurology, UCLA 2 Integrated D Add to Reading List Source URL: pages.ucsd.edu Language: English - Date: 2006-03-28 17:53:00 Ensemble learning AdaBoost Cascading classifiers Boosting Polyp Supervised learning Classifier Linear discriminant analysis Statistical classification ViolaJones object detection framework
20	Contents 1 Introduction 2 The Add to Reading List Source URL: www.bioinf.jku.at Language: English - Date: 2013-01-23 02:33:21 Linear algebra Abstract algebra Statistical classification Matrix theory Matrices Support vector machine Matrix Kernel method Linear classifier Kernel Euclidean vector Eigenvalues and eigenvectors

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