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Supervised learning
Results: 1557

#	Item
251	JMLR: Workshop and Conference Proceedings–212 Asian Conference on Machine Learning Learning Rules from Incomplete Examples via Implicit Mention Models Add to Reading List Source URL: jmlr.csail.mit.edu Language: English - Date: 2011-11-17 15:04:41 Thomas G. Dietterich Bayesian network Scoring rule Machine learning Artificial intelligence Confidence interval Semi-supervised learning Learning Cognition
252	Supervised Learning (Big Data Analytics) Vibhav Gogate Department of Computer Science The University of Texas at Dallas Add to Reading List Source URL: www.hlt.utdallas.edu Language: English - Date: 2013-11-22 18:26:16
253	Document Image Classification and Labeling using Multiple Instance Learning Jayant Kumar Jaishanker Pillai David Doermann Institute of Advanced Computer Studies University of Maryland College Park, USA {jayant, jsp, doer Add to Reading List Source URL: www.umiacs.umd.edu Language: English - Date: 2012-09-19 14:33:22 Machine learning Artificial intelligence Learning Cognition Multiple-instance learning Multiple instance learning Support vector machine Document classification Statistical classification Supervised learning Image segmentation
254	Semi-Supervised Learning on Riemannian Manifolds Mikhail Belkin∗ , Partha Niyogi † University of Chicago, Department of Computer Science Add to Reading List Source URL: people.cs.uchicago.edu Language: English - Date: 2006-06-01 19:07:10
255	A Decision Tree Framework for Spatiotemporal Sequence Prediction Taehwan Kim Yisong Yue Add to Reading List Source URL: www.yisongyue.com Language: English - Date: 2015-06-03 14:15:40 Machine learning Conditional random field Structured prediction Hidden Markov model Artificial neural network Dynamic programming Decision tree learning Pattern recognition Recursion Supervised learning
256	Semi-Supervised Learning of Semantic Classes for Query Understanding – from the Web and for the Web Ye-Yi Wang Raphael Hoffmann Add to Reading List Source URL: raphaelhoffmann.com Language: English - Date: 2015-06-26 03:27:37
257	Classifier-Adjusted Density Estimation for Anomaly Detection and One-Class Classification Lisa Friedland∗ Amanda Gentzel∗ Add to Reading List Source URL: people.cs.umass.edu Language: English - Date: 2014-02-13 14:01:13 Statistics Machine learning Statistical classification Data mining Nonparametric statistics Local outlier factor Anomaly detection Outlier K-nearest neighbors algorithm Naive Bayes classifier Kernel density estimation Supervised learning
258	ROBERTO BATTITI, MAURO BRUNATO. The LION Way: Machine Learning plus Intelligent Optimization. LIONlab, University of Trento, Italy, Apr 2015 http://intelligentoptimization.org/LIONbook Add to Reading List Source URL: intelligent-optimization.org Language: English - Date: 2015-10-06 09:20:20 Machine learning K-nearest neighbors algorithm Roberto Battiti Lazy learning Supervised learning Nearest neighbor Feature
259	Coupled Bayesian Sets Algorithm for Semi-supervised Learning and Information Extraction Saurabh Verma Baranas Hindu University, India Add to Reading List Source URL: rtw.ml.cmu.edu Language: English - Date: 2012-10-01 12:24:52 Statistical theory Bayesian statistics Estimation theory Statistical inference Statistical models
260	On the Intrusiveness of JavaScript on the Web Muhammad Ikram Hassan Asghar NICTA and UNSW, Australia Add to Reading List Source URL: conferences2.sigcomm.org Language: English - Date: 2014-12-01 17:07:21 Software engineering Statistical classification Computing Computer programming Machine learning Internet privacy Support vector machine Privacy JavaScript Supervised learning One-class classification

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