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Supervised learning
Results: 1557

#	Item
491	Review of Probably Approximate Correct, by Leslie Valiant. (Basic Books, 2013, x+195 pps.) In 2010, Leslie Valiant won the Turing Award, the “Nobel prize of computer science”. The citation mentioned a number of contr Add to Reading List Source URL: www.cs.nyu.edu Language: English - Date: 2015-03-15 21:24:02 Computer science Theoretical computer science Artificial intelligence Probably approximately correct learning Learning Learnability Leslie Valiant Supervised learning Algorithm Computational learning theory Machine learning Applied mathematics
492	Stochastic k-Neighborhood Selection for Supervised and Unsupervised Learning Daniel Tarlow† Microsoft Research Cambridge Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2013-05-09 17:55:22 Artificial intelligence Search algorithms Dimension reduction Neighbourhood components analysis K-nearest neighbor algorithm Statistical classification Nonlinear dimensionality reduction Large margin nearest neighbor Supervised learning Statistics Machine learning Multivariate statistics
493	Under review as a conference paper at ICLRN EURAL N ETWORK R EGULARIZATION W EIGHT FACTORIZATION VIA Add to Reading List Source URL: www.uoguelph.ca Language: English - Date: 2014-12-30 23:06:44 Learning Artificial intelligence Boltzmann machine Supervised learning Regularization Autoencoder Pattern recognition Overfitting Machine learning Neural networks Statistics
494	Early Exit Optimizations for Additive Machine Learned Ranking Systems B. Barla Cambazoglu Hugo Zaragoza Add to Reading List Source URL: www.wsdm-conference.org Language: English - Date: 2009-12-30 02:05:46 Learning to rank Tf*idf Precision and recall Search engine indexing Discounted cumulative gain Document retrieval PageRank Supervised learning Ranking SVM Information science Information retrieval Ranking function
495	18 Introduction to Statistical Learning and Pattern Classification Jed Singer and Gabriel Kreiman Add to Reading List Source URL: klab.tch.harvard.edu Language: English - Date: 2013-03-04 08:15:00 Principal component analysis Cluster analysis Unsupervised learning K-means clustering Dimension reduction Linear discriminant analysis Spectral clustering Statistical classification Supervised learning Statistics Machine learning Multivariate statistics
496	Amplifying the Voice of Youth in Africa via Text Analytics Prem Melville Vijil Chenthamarakshan Richard D. Lawrence Add to Reading List Source URL: www.prem-melville.com Language: English - Date: 2013-08-11 16:52:30 Data mining Information science Natural language processing Supervised learning Naive Bayes classifier Document classification Text messaging Precision and recall Classifier Statistics Machine learning Statistical classification
497	doicomjnl/bxs058 Add to Reading List Source URL: www-ai.ijs.si Language: English - Date: 2013-04-12 07:11:37 Statistical classification Natural language processing Data mining Support vector machine Supervised learning Document classification Naive Bayes classifier Centroid Information retrieval Statistics Artificial intelligence Machine learning
498	Appl Intell: 205–217 DOIs10489Clinical data analysis based on iterative subgroup discovery: experiments in brain ischaemia data analysis Dragan Gamberger · Nada Lavraˇc · Antonija Krst Add to Reading List Source URL: www-ai.ijs.si Language: English - Date: 2013-03-25 06:53:46 Decision theory Anatomy Theoretical computer science Statistical classification Applied mathematics Classification rule Supervised learning Algorithm Decision rule Machine learning Aging-associated diseases Statistics
499	Noname manuscript No. (will be inserted by the editor) Unsupervised Feature Construction for Improving Data Representation and Semantics Marian-Andrei Rizoiu · Julien Velcin · Add to Reading List Source URL: www.rizoiu.eu Language: English - Date: 2013-10-04 10:30:16 Learning Supervised learning Feature selection Unsupervised learning Pattern recognition Feature Algorithm Machine learning Artificial intelligence Statistics
500	To appear in Proceedings of the ACM Symposium on Information, Computer, and Communication Security, March 2006 Can Machine Learning Be Secure? Marco Barreno Add to Reading List Source URL: www.cs.berkeley.edu Language: English - Date: 2006-02-11 16:41:05 Computational statistics Learning Anomaly detection Data mining Data security Intrusion detection system Concept learning Boosting Supervised learning Machine learning Statistics Learning theory

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