Classifier chains

Results: 59



#Item
21Machine learning / Statistical classification / Classifier chains / Multi-label classification / Computational neuroscience / Support vector machine / Artificial neural network / Ensemble learning / Pattern recognition

Multi-label Classification with Meta-labels Jesse Read Antti Puurula Albert Bifet

Add to Reading List

Source URL: perso.telecom-paristech.fr

Language: English
22Multi-label classification / Machine learning / Classifier chains / Massive Online Analysis / Statistical classification / Weka / Classifier

Journal of Machine Learning ResearchSubmitted 5/12; Revised 6/15; Published 2/16 Meka: A Multi-label/Multi-target Extension to Weka Jesse Read

Add to Reading List

Source URL: jmlr.org

Language: English - Date: 2016-04-23 16:19:00
23Machine learning / Multi-label classification / Concept drift / Label / Statistical classification / Synthetic data / Classifier chains / Pattern recognition

Generating Synthetic Multi-label Data Streams Jesse Read, Bernhard Pfahringer, Geoff Holmes Department of Computer Science The University of Waikato Hamilton, New Zealand {jmr30,bernhard,geoff}@cs.waikato.ac.nz

Add to Reading List

Source URL: users.ics.aalto.fi

Language: English - Date: 2010-10-25 05:10:52
24Statistical classification / Naive Bayes classifier / Bayes classifier / Support vector machine / Classifier / Multiclass classification / Concept drift / Massive Online Analysis / Binary classification / Classifier chains / Nearest neighbour classifiers

Pitfalls in Benchmarking Data Stream Classification and How to Avoid Them ˇ Albert Bifet1 , Jesse Read2 , Indr˙e Zliobait˙ e3 , Bernhard Pfahringer4 , and Geoff Holmes4 1

Add to Reading List

Source URL: perso.telecom-paristech.fr

Language: English
25Statistical classification / Classifier chains / Machine learning / Multi-label classification / Support vector machine / Classifier / Ensemble learning

Classifier Chains for Multi-label Classification Jesse Read, Bernhard Pfahringer, Geoff Holmes, Eibe Frank University of Waikato, Hamilton, New Zealand Experiments Introduction

Add to Reading List

Source URL: users.ics.aalto.fi

Language: English - Date: 2010-10-25 05:10:52
26Classifier chains / X3

Multi-target Prediction with Classifier Chains Jesse Read http://users.ics.aalto.fi/jesse/ Aalto University School of Science, Department of Information and Computer Science and Helsinki Institute for Information Technol

Add to Reading List

Source URL: jmread.github.io

Language: English - Date: 2016-05-18 09:25:59
27Machine learning / Statistical classification / Classifier chains / Multi-label classification / Pattern recognition / Support vector machine / Supervised learning / Probabilistic classification / Maximum a posteriori estimation / Naive Bayes classifier / Structured support vector machine

EFFICIENT MONTE CARLO OPTIMIZATION FOR MULTI-LABEL CLASSIFIER CHAINS Jesse Read, Luca Martino∗ David Luengo∗ Dept. of Signal Theory and Communications

Add to Reading List

Source URL: perso.telecom-paristech.fr

Language: English
28Classifier chains / Machine learning / Multi-label classification / Lookup table / Deep learning / Probabilistic classification / Supervised learning

A Deep Interpretation of Classifier Chains Jesse Read and Jaakko Hollm´en Aalto University, Department of Information and Computer Science PO Box 15400, FIAalto, Espoo, Finland Helsinki Institute for Information

Add to Reading List

Source URL: users.ics.aalto.fi

Language: English - Date: 2014-11-05 06:37:40
29Machine learning / Statistical classification / Data mining / Classifier chains / Multi-label classification / Concept drift / Boosting / Massive Online Analysis / Data stream mining / Pattern recognition / Binary classification / Naive Bayes classifier

JMLR: Workshop and Conference Proceedings–25 2nd Workshop on Applications of Pattern Analysis Streaming Multi-label Classification Jesse Read

Add to Reading List

Source URL: jmlr.csail.mit.edu

Language: English - Date: 2011-10-20 12:17:30
30Statistical classification / Machine learning / Ensemble learning / Multi-label classification / Support vector machine / AdaBoost / Multiclass classification / Naive Bayes classifier / Boosting / K-nearest neighbors algorithm / Document classification / Classifier chains

A Pruned Problem Transformation Method for Multi-label Classification Jesse Read University of Waikato, Hamilton, New Zealand

Add to Reading List

Source URL: perso.telecom-paristech.fr

Language: English - Date: 2010-10-25 05:10:52
UPDATE