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Linear classifier
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111	Non-linear Label Ranking for Largescale prediction of Long-Term User Interests Nemanja Djuric1, Vladan Radosavljevic1, Mihajlo Grbovic1, Narayan Bhamidipati1, Slobodan Vucetic2 Yahoo! Labs, Sunnyvale 2 Temple University, Add to Reading List Source URL: astro.temple.edu Language: English - Date: 2014-11-03 12:01:30 Support vector machine Classifier Applied mathematics Statistical classification Linear classifier Margin classifier
112	TECHNICAL REPORT YRWITCH: A NEW APPROACH TO WEB SPAM DETECTION Add to Reading List Source URL: research.yahoo.com Language: English - Date: 2013-04-05 04:39:54 Linear classifier Spam Support vector machine Static single assignment form Statistical classification Internet Computing
113	Computational Statistics & Data Analysis – 537 www.elsevier.com/locate/csda Latent class models for classi%cation Jeroen K. Vermunta;∗ , Jay Magidsonb a Department Add to Reading List Source URL: statisticalinnovations.com Language: English - Date: 2009-07-22 15:03:17 Categorical data Statistical models Machine learning Latent class model Logistic regression Latent variable Linear regression Supervised learning Naive Bayes classifier Statistics Regression analysis Econometrics
114	Scalable learning through linearithmic time kernel approximation techniques Johan von Tangen Sivertsen March 24, 2014 Abstract Add to Reading List Source URL: www.itu.dk Language: English - Date: 2014-03-28 07:27:25 Linear algebra Statistical classification Abstract algebra Operator theory Functional analysis Kernel trick Kernel Gaussian function Linear classifier Algebra Mathematics Machine learning
115	A Course in Machine Learning Hal Daumé III C ODE Add to Reading List Source URL: ciml.info Language: English - Date: 2014-09-24 16:08:40 Neural networks Supervised learning Perceptron Support vector machine Linear classifier Logistic regression K-nearest neighbor algorithm Kernel trick Maximum likelihood Statistics Machine learning Statistical classification
116	A Course in Machine Learning Hal Daumé III 11 \| E NSEMBLE M ETHODS Add to Reading List Source URL: ciml.info Language: English - Date: 2014-09-24 16:08:32 Boosting Linear classifier Statistical classification Perceptron Random forest Decision stump K-nearest neighbor algorithm Margin classifier Random subspace method Machine learning Ensemble learning AdaBoost
117	MIT Sloan Sports Analytics Conference 2012 March 2-3, 2012, Boston, MA, USA Predicting the Next Pitch Gartheeban Ganeshapillai, John Guttag Massachusetts Institute of Technology, Add to Reading List Source URL: www.sloansportsconference.com Language: English - Date: 2012-02-20 23:29:43 Baseball pitching Linear classifier Pitch Starting pitcher Fastball Count Changeup Sinker Slider Baseball Sports Baseball pitches
118	Online edition (cCambridge UP DRAFT! © April 1, 2009 Cambridge University Press. Feedback welcome. 15 Add to Reading List Source URL: nlp.stanford.edu Language: English - Date: 2009-04-01 00:44:55 Statistical classification Linear algebra Abstract algebra Vector calculus Support vector machines Linear classifier Decision boundary Perceptron Margin classifier Algebra Mathematics Statistics
119	Confidence-Weighted Linear Classification Mark Dredze Koby Crammer Add to Reading List Source URL: www.cs.jhu.edu Language: English - Date: 2009-02-15 15:01:42 Linear classifier Normal distribution Perceptron Support vector machine Variance AdaBoost Supervised learning Statistics Statistical classification Machine learning
120	COMPSTAT’2004 Symposium c Physica-Verlag/Springer 2004 VISUALIZATION IN CLASSIFICATION PROBLEMS Add to Reading List Source URL: www.cs.iastate.edu Language: English - Date: 2005-01-29 22:00:50 Linear classifier Linear discriminant analysis Fatty acid Hyperplane Statistics Statistical classification Support vector machine

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