Novel approaches to probabilistic neural networks through bagging and evolutionary estimating of prior probabilities

DOI10.1007/s11063-007-9066-5zbMath1396.62052OpenAlexW2108314099WikidataQ115467695 ScholiaQ115467695MaRDI QIDQ1009347

Vasileios L. Georgiou, Philipos D. Alevizos, Michael N. Vrahatis

Publication date: 31 March 2009

Published in: Neural Processing Letters (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11063-007-9066-5

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Bootstrap, jackknife and other resampling methods (62F40) Pattern recognition, speech recognition (68T10) Neural nets applied to problems in time-dependent statistical mechanics (82C32) Neural nets and related approaches to inference from stochastic processes (62M45)

Uses Software

• UCI-ml
• clusfind

Cites Work

• Bagging predictors
• Recent approaches to global optimization problems through particle Swarm optimization
• The particle swarm optimization algorithm: Convergence analysis and parameter selection
• Inference for the generalization error
• Finding Groups in Data
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