Stochastic Organization of Output Codes in Multiclass Learning Problems

DOI10.1162/08997660151134334zbMath0983.68159OpenAlexW2170892415WikidataQ52135175 ScholiaQ52135175MaRDI QIDQ2747211

Werner Weichselberger, Wolfgang Utschick

Publication date: 29 April 2002

Published in: Neural Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1162/08997660151134334

zbMATH Keywords

multiclass learning problems

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Pattern recognition, speech recognition (68T10)

Related Items (2)

An incremental node embedding technique for error correcting output codes ⋮ Exploiting coding theory for classification: an LDPC-based strategy for multiclass-to-binary decomposition

Cites Work

• Optimization by Simulated Annealing
• Mixture Densities, Maximum Likelihood and the EM Algorithm
• Vector quantization by deterministic annealing
• Improved approximation algorithms for maximum cut and satisfiability problems using semidefinite programming

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