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Linear classifier
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61	Controlling False Alarm/Discovery Rates in Online Internet Traffic Flow Classification Daniel Nechay, Yvan Pointurier, and Mark Coates Department of Electrical and Computer Engineering McGill University, Montr´eal, Qu´ Add to Reading List Source URL: www.tsp.ece.mcgill.ca Language: English - Date: 2009-01-28 13:17:01 Support vector machine Classifier chains Multiclass classification Binary classification Classifier Linear discriminant analysis Gain Boosting methods for object categorization Classification rule Statistics Statistical classification Machine learning
62	Linear Time Nonparametric Classification and Feature Selection with Polynomial MPMC Cascades for large datasets Markus Breitenbach1 , Sander M. Bohte1,2 , and Gregory Z. Grudic1 1 Add to Reading List Source URL: markus-breitenbach.com Language: English - Date: 2004-06-24 11:16:08 Applied mathematics Linear classifier Ensemble learning Time complexity Support vector machine Algorithm Computational complexity theory Stability Boosting methods for object categorization Machine learning Statistics Statistical classification
63	Feature Analysis for Discriminative Confidence Estimation in Spoken Term Detection Javier Tejedora , Doroteo T. Toledanob , Dong Wangc , Simon Kingd , Jos´e Col´asa a Add to Reading List Source URL: www.cstr.ed.ac.uk Language: English - Date: 2013-10-07 08:11:17 Statistical classification Feature selection Speech recognition Reliability engineering Discriminative model Feature recognition Confidence interval Statistics Machine learning Linear classifier
64	Video Indexing and Retrieval at UMD Christian Wolf Laboratoire RFV INSA de LyonVilleurbanne cedex, France Add to Reading List Source URL: trec.nist.gov Language: English Natural language processing Computational linguistics Image search Content-based image retrieval Speech recognition Text Retrieval Conference Linear classifier Image retrieval Document retrieval Information science Information retrieval Science
65	Spam Filtering using Inexact String Matching in Explicit Feature Space with On-Line Linear Classifiers D. Sculley, Gabriel M. Wachman, and Carla E. Brodley Department of Computer Science, Tufts University Medford, MA 021 Add to Reading List Source URL: trec.nist.gov Language: English Machine learning Computing Artificial intelligence Spamming Natural language processing Anti-spam techniques Pattern recognition Naive Bayes classifier Perceptron Statistics Statistical classification Spam filtering
66	Shallow Parsing with Conditional Random Fields Fei Sha and Fernando Pereira Department of Computer and Information Science University of Pennsylvania 200 South 33rd Street, Philadelphia, PAfeisha\|pereira)@cis.upe Add to Reading List Source URL: www.cs.iastate.edu Language: English - Date: 2004-09-12 22:18:04 Numerical linear algebra Machine learning Conditional random field Theoretical computer science Statistical classification Perceptron Linear classifier Limited-memory BFGS Preconditioner Statistics Mathematics Applied mathematics
67	CS 224D: Deep Learning for NLP1 1 Lecture Notes: Part I2 Add to Reading List Source URL: cs224d.stanford.edu Language: English - Date: 2015-05-02 14:21:27 Abstract algebra Vector calculus Statistical theory Matrix theory Vector space Maximum likelihood Euclidean vector Matrix Naive Bayes classifier Algebra Mathematics Linear algebra
68	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: www.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
69	Tackling the Poor Assumptions of Naive Bayes Text Classifiers Add to Reading List Source URL: www.aaai.org Language: English - Date: 2006-01-11 19:03:07 Machine learning Naive Bayes classifier Multiclass classification Linear classifier Document classification Classification rule Random naive Bayes Averaged one-dependence estimators Statistics Statistical classification Bayesian statistics