Transductive Methods for the Distributed Ensemble Classification Problem

DOI10.1162/neco.2007.19.3.856zbMath1127.68096OpenAlexW2098835171WikidataQ51922394 ScholiaQ51922394MaRDI QIDQ3591522

Siddharth Pal, David John Miller

Publication date: 11 September 2007

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

Full work available at URL: https://doi.org/10.1162/neco.2007.19.3.856

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Learning and adaptive systems in artificial intelligence (68T05) Pattern recognition, speech recognition (68T10)

Related Items (3)

Transfer estimation of evolving class priors in data stream classification ⋮ Non-stationary data sequence classification using online class priors estimation ⋮ Decision aggregation in distributed classification by a transductive extension of maximum entropy/improved iterative scaling

Cites Work

• Robust combining of disparate classifiers through order statistics
• Adjusting the Outputs of a Classifier to New a Priori Probabilities: A Simple Procedure
• Mixture Densities, Maximum Likelihood and the EM Algorithm
• A Classification Paradigm for Distributed Vertically Partitioned Data

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