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Classifier
Results: 1687

#	Item
31	A Few Useful Things to Know about Machine Learning Pedro Domingos Department of Computer Science and Engineering University of Washington Seattle, WA, U.S.A. Add to Reading List Source URL: homes.cs.washington.edu Language: English - Date: 2015-08-13 22:08:12 Machine learning Artificial intelligence Statistical classification Learning Ensemble learning Cybernetics Boosting Support vector machine Linear classifier Naive Bayes classifier Online machine learning Generalization error
32	Better Classifier Chains for Multi-label Classification Jesse Read, Fernando P´erez Cruz Department of Signal Theory and Communications Universidad Carlos III Madrid, Spain Add to Reading List Source URL: users.ics.aalto.fi Language: English - Date: 2011-07-21 06:05:16 Machine learning Classifier chains Statistical classification Multi-label classification Classifier Supervised learning Cognition Information
33	264 Genome Informatics 13: 264–Characteristics of Support Vector Machines in Gene Expression Analysis Add to Reading List Source URL: www.jsbi.org Language: English - Date: 2002-12-19 23:03:34 Machine learning Microarrays Statistical classification Biology Statistics Support vector machine Polynomial kernel Affymetrix Linear classifier DNA microarray Kernel method Gene expression profiling
34	Streaming Multi-label Classification Jesse Read† , Albert Bifet, Geoff Holmes, Bernhard Pfahringer University of Waikato, Hamilton, New Zealand † Add to Reading List Source URL: users.ics.aalto.fi Language: English - Date: 2011-10-17 14:24:14 Statistical classification Multi-label classification Classifier chains Support vector machine Naive Bayes classifier Classification Cognition
35	Multi-label Classification with Classifier Chains Jesse Read Aalto University School of Science, Department of Information and Computer Science and Helsinki Institute for Information Technology Helsinki, Finland Add to Reading List Source URL: users.ics.aalto.fi Language: English - Date: 2014-03-30 09:31:50 Classifier chains Multi-label classification Multiclass classification Helsinki Institute for Information Technology
36	PDF Document Add to Reading List Source URL: www.work.caltech.edu Language: English - Date: 2015-01-01 11:20:46 Statistical classification Machine learning Learning Artificial intelligence Support vector machine Polynomial kernel LIBSVM Quadratic Classifier XTR Least squares support vector machine
37	Supervised Pattern Classification Using Optimum-Path Forest Jo˜ao Paulo Papa and Alexandre Xavier Falc˜ao University of Campinas Institute of Computing Campinas, S˜ao Paulo - Brazil {papa.joaopaulo,alexandre.falcao}@g Add to Reading List Source URL: www.matmidia.mat.puc-rio.br Language: English - Date: 2009-12-09 18:55:18 Statistical classification Learning Data Cognition Support vector machine Classifier Margin classifier K-nearest neighbors algorithm Supervised learning Naive Bayes classifier Machine learning
38	On-line Multi-label Classification A Problem Transformation Approach Jesse Read Supervisors: Bernhard Pfahringer, Geoff Holmes Add to Reading List Source URL: users.ics.aalto.fi Language: English - Date: 2010-10-25 05:10:52 Statistical classification Machine learning Learning Artificial intelligence Statistics Multi-label classification Support vector machine Naive Bayes classifier AdaBoost Binary classification Classifier chains Multiclass classification
39	Machine Learning Recap of main issues/phases Phases/problems in designing a ML algorithm •  Add to Reading List Source URL: twiki.di.uniroma1.it Language: English - Date: 2016-02-12 09:34:25 Machine learning Artificial intelligence Learning Cognition Unsupervised learning Supervised learning Reinforcement learning Learning classifier system
40	Data Stream Classification using Random Feature Functions and Novel Method Combinations Jesse Read Albert Bifet Add to Reading List Source URL: users.ics.aalto.fi Language: English - Date: 2015-08-21 10:06:56 Machine learning Artificial intelligence Learning Statistical classification Massive Online Analysis K-nearest neighbors algorithm Ensemble learning Classifier chains Multi-label classification Concept drift Stochastic gradient descent Naive Bayes classifier

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