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Supervised learning
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#	Item
411	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
412	The Utility of Abstaining in Binary Classification Akshay Balsubramani University of California, San Diego Add to Reading List Source URL: cseweb.ucsd.edu Language: English - Date: 2013-12-05 17:49:40 Mathematics Analysis of algorithms Supervised learning Algorithm Online machine learning Randomized algorithm Time complexity Statistical classification Margin classifier Theoretical computer science Applied mathematics Machine learning
413	Random Walks Based Modularity: Application to Semi-Supervised Learning Robin Devooght Amin Mantrach Add to Reading List Source URL: labs.yahoo.com Language: English - Date: 2014-11-12 10:09:07 Algebraic graph theory Theoretical computer science Networks Modularity Community structure Shortest path problem Random walk Adjacency matrix Matrix Graph theory Mathematics Network theory
414	Speech-Based Emotion Recognition: Feature Selection by Self-Adaptive Multi-Criteria Genetic Algorithm Maxim Sidorov1 , Christina Brester2 , Wolfgang Minker3 , Eugene Semenkin4 1,3 Institute for Communications Engineerin Add to Reading List Source URL: www.lrec-conf.org Language: English - Date: 2014-05-20 12:22:47 Computational linguistics Computer vision Computer accessibility Speech recognition Emotion Feature selection Principal component analysis Supervised learning Artificial neural network Statistics Dimension reduction Multivariate statistics
415	Topics in Structured Prediction: Problems and Approaches DRAFT Ankan Saha June 9, 2010 Add to Reading List Source URL: people.cs.uchicago.edu Language: English - Date: 2010-06-09 21:19:59 Supervised learning Structured prediction Structured learning Support vector machine Empirical risk minimization Regression analysis Natural language processing Algorithm Pattern recognition Statistics Machine learning Artificial intelligence
416	Automatically Classifying Emails into Activities Tessa Lau Mark Dredze IBM Almaden Research Center Department of Computer and Information Science 650 Harry Road Add to Reading List Source URL: tlau.org Language: English - Date: 2006-02-16 15:47:36 Spam filtering Artificial intelligence Spamming Computing Email filtering Anti-spam techniques Naive Bayes classifier Document classification Supervised learning Email Computer-mediated communication Machine learning
417	Morfessor FlatCat: An HMM-Based Method for Unsupervised and Semi-Supervised Learning of Morphology Stig-Arne Gr¨onroos1 Sami Virpioja2 Add to Reading List Source URL: www.aclweb.org Language: English - Date: 2014-08-08 12:22:55 Statistics Computational linguistics Natural language processing Semantics Flatcat Word-sense disambiguation Conditional random field Segmentation Polymorphism Machine learning Science Linguistics
418	Learning Appearance Manifolds from Video Ali Rahimi MIT CS and AI Lab, Cambridge, MA 02139 Add to Reading List Source URL: www.cba.mit.edu Language: English - Date: 2011-12-13 18:32:02 Dimension reduction Computational statistics Dimension Nonlinear dimensionality reduction Pattern recognition Supervised learning Manifold Isomap Markov chain Statistics Machine learning Multivariate statistics
419	Supervised Feature-Based Classification of Multi-Channel SAR Images D. Borghys, Y. Yvinec, C. Perneel, Signal & Image Centre, Royal Military Academy, Renaissancelaan 30, B-1000 Brussels Add to Reading List Source URL: www.sic.rma.ac.be Language: English - Date: 2006-04-12 03:38:07 Econometrics Multinomial logit Supervised learning Logistic regression Regularization Pattern recognition Statistics Regression analysis Machine learning
420	High Order Regularization for Semi-Supervised Learning of Structured Output Problems Yujia Li1 Richard Zemel1,2 1 Department of Computer Science, University of Toronto, Toronto, ON, Canada Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2014-05-13 01:07:16 Statistics Semi-supervised learning Supervised learning Segmentation Transduction Support vector machine Graph Co-training Regularization Machine learning Artificial intelligence Learning

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