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Linear classifier
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#	Item
121	Using Global Sequence Similarity to Enhance Biological Sequence Labeling Cornelia Caragea Computer Science Department Iowa State University Drena Dobbs Add to Reading List Source URL: www.cs.iastate.edu Language: English - Date: 2008-09-20 17:40:37 Bioinformatics Computational phylogenetics Statistical classification Formal sciences Sequence alignment Linear classifier Pattern recognition Naive Bayes classifier Cluster analysis Statistics Machine learning Science
122	Generalization in Holistic versus Analytic Processing of Faces M. Bicego∗ DEIR - University of Sassari, via Torre Tonda, [removed], Sassari (Italy) E. Grosso Add to Reading List Source URL: profs.sci.univr.it Language: English - Date: 2011-10-29 17:56:31 Artificial intelligence Parts of speech Linear classifier Classifier Learning classifier system Eigenface Support vector machine Boosting methods for object categorization Random subspace method Statistics Statistical classification Machine learning
123	Sparse Feature Learning for Deep Belief Networks Marc’Aurelio Ranzato1 Y-Lan Boureau2,1 Yann LeCun1 1 Add to Reading List Source URL: yann.lecun.com Language: English - Date: 2007-11-14 18:21:11 Pulse-code modulation Quantization Overcompleteness Supervised learning Electronic engineering Mathematics Statistics Decoder Linear classifier
124	Semi-Supervised Learning with Explicit Misclassification Modeling Massih-Reza Amini, Patrick Gallinari University of Pierre and Marie Curie Computer Science Laboratory of Paris 6 8, rue du capitaine Scott, F[removed]Paris, Add to Reading List Source URL: ama.liglab.fr Language: English - Date: 2013-02-27 04:55:30 Statistical classification Supervised learning Semi-supervised learning Co-training Pattern recognition Linear discriminant analysis Support vector machine Naive Bayes classifier Document classification Statistics Machine learning Artificial intelligence
125	Ch.5 Classification and Clustering Classification [Book, scattered] With discrete response variables, do classification instead of regression. (b) 1 Add to Reading List Source URL: www.ocgy.ubc.ca Language: English - Date: 2013-09-30 19:02:28 Statistical classification Bayesian statistics Regression analysis Linear classifier Posterior probability Linear regression Marginal distribution K-nearest neighbor algorithm Expected value Statistics Econometrics Machine learning
126	Automatic Artifact Identification in Image Communication Using Watermarking and Classification Algorithms Shabnam Sodagari, G. Hossein Hajimirsadeghi, Alireza Nasiri Avanaki Control and Intelligent Processing Center of E Add to Reading List Source URL: www.cs.sfu.ca Language: English - Date: 2008-09-06 06:26:22 Linear classifier Support vector machine Naive Bayes classifier Supervised learning Pattern recognition Principal component analysis Margin classifier Random subspace method Statistics Statistical classification Machine learning
127	Learning and Selecting Features Jointly with Point-wise Gated Boltzmann Machines Kihyuk Sohn Guanyu Zhou Chansoo Lee Honglak Lee Add to Reading List Source URL: jmlr.org Language: English - Date: 2013-08-14 01:36:44 Boltzmann machine Supervised learning Feature selection Pattern recognition Generative model Neural network Unsupervised learning Support vector machine Linear classifier Statistics Machine learning Artificial intelligence
128	SlimPLS: A Method for Feature Selection in Gene Expression-Based Disease Classification Michael Gutkin1, Ron Shamir1, Gideon Dror2 1 Blavatnik school of Computer Science, Tel Aviv University, Tel Aviv, Israel, 2 School Add to Reading List Source URL: www2.mta.ac.il Language: English* - Date: 2010-08-18 18:53:13 Support vector machine Naive Bayes classifier Classifier Binary classification Supervised learning Feature selection Linear discriminant analysis Cross-validation Random subspace method Statistics Machine learning Statistical classification
129	Index K -means algorithm, 238, 265 ANOVA, see analysis of variance Add to Reading List Source URL: www.cs.bris.ac.uk Language: English - Date: 2012-04-23 06:41:58 Cluster analysis Multivariate statistics Data analysis K-means clustering Calibration Random forest Linear classifier Expectation–maximization algorithm K-nearest neighbor algorithm Statistics Machine learning Statistical classification
130	Learning-Based Summarisation of XML Documents Massih R. Amini† Anastasios Tombros∗ Nicolas Usunier† Mounia Lalmas∗ † {name}@poleia.lip6.fr University Pierre and Marie Curie Add to Reading List Source URL: ama.liglab.fr Language: English - Date: 2013-02-27 04:55:26 Statistical classification Computational linguistics Natural language processing Automatic summarization Data mining Ensemble learning Linear classifier Naive Bayes classifier XML Machine learning Statistics Computing

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