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Linear classifier
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1	WEYAND, DESELAERS, NEY: LOG-LINEAR MIXTURES 1 Log-Linear Mixtures for Object Class Recognition Add to Reading List Source URL: thomas.deselaers.de Language: English - Date: 2014-10-11 09:29:39 Machine learning Artificial intelligence Learning Statistics Mixture model Log-linear model Pattern recognition K-means clustering Linear classifier
2	A Few Useful Things to Know about Machine Learning Pedro Domingos Department of Computer Science and Engineering University of Washington Seattle, WA, U.S.A. Add to Reading List Source URL: homes.cs.washington.edu Language: English - Date: 2015-08-13 22:08:12 Machine learning Artificial intelligence Statistical classification Learning Ensemble learning Cybernetics Boosting Support vector machine Linear classifier Naive Bayes classifier Online machine learning Generalization error
3	264 Genome Informatics 13: 264–Characteristics of Support Vector Machines in Gene Expression Analysis Add to Reading List Source URL: www.jsbi.org Language: English - Date: 2002-12-19 23:03:34 Machine learning Microarrays Statistical classification Biology Statistics Support vector machine Polynomial kernel Affymetrix Linear classifier DNA microarray Kernel method Gene expression profiling
4	LNAICatenary Support Vector Machines Add to Reading List Source URL: rlair.cs.ucr.edu Language: English - Date: 2011-01-19 19:25:43 Statistical classification Mathematical analysis Analysis Mathematics Ensemble learning Mathematical optimization Linear algebra Convex analysis Support vector machine Linear classifier Norm AdaBoost
5	Towards Anytime Active Learning: Interrupting Experts to Reduce Annotation Costs Maria E. Ramirez-Loaiza Aron Culotta Add to Reading List Source URL: poloclub.gatech.edu Language: English - Date: 2013-07-08 06:03:55 Machine learning Statistical classification Artificial intelligence Learning Support vector machine Pattern recognition Supervised learning Linear classifier Naive Bayes classifier Generalization error Document classification
6	Detecting Particles in Cryo-EM Micrographs using Learned Features Satya P. Mallick1 Yuanxin Zhu2 Add to Reading List Source URL: vision.ucsd.edu Language: English Artificial intelligence Ensemble learning Learning Machine learning Statistical classification Cascading classifiers AdaBoost Boosting Face recognition Classifier Supervised learning Linear discriminant analysis
7	FaceTracer: A Search Engine for Large Collections of Images with Faces Neeraj Kumar1⋆ , Peter Belhumeur1 , and Shree Nayar1 Columbia University Abstract. We have created the first image search engine based entirely Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2009-05-20 16:26:00 Artificial intelligence Statistical classification Ensemble learning Statistics Learning AdaBoost Support vector machine Linear discriminant analysis Classifier ViolaJones object detection framework Cascading classifiers
8	logistic regression decision trees pre-pruning global contextual Add to Reading List Source URL: bigdatascienceschool.com Language: English - Date: 2014-06-10 14:21:32 Statistics Statistical classification Robust statistics Machine learning K-nearest neighbors algorithm Outlier Nonparametric statistics Naive Bayes classifier Linear regression Book:Machine Learning The Complete Guide Predictive analytics
9	Learning from Ambiguously Labeled Images Timothee Cour, Benjamin Sapp, Chris Jordan, Ben Taskar University of Pennsylvania 3330, Walnut Street {timothee,bensapp,wjc,taskar}@seas.upenn.edu Add to Reading List Source URL: www.seas.upenn.edu Language: English - Date: 2009-04-22 15:14:38 Statistical classification Machine learning Learning Artificial intelligence Semi-supervised learning Support vector machine Supervised learning K-nearest neighbors algorithm Linear classifier Multi-label classification Cross entropy Hinge loss
10	Large-Scale Language Classification Writing a Detector for 200 Languages on Twitter Jordan Cazamias Chinmayi Dixit Add to Reading List Source URL: nlp.stanford.edu Language: English - Date: 2015-12-20 04:56:25 Statistical classification Artificial intelligence Statistics Learning Machine learning Computational linguistics Natural language processing Linear classifier Naive Bayes classifier Multinomial logistic regression Classifier N-gram