A Bayesian Analysis of Self-Organizing Maps
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Publication:4323328
DOI10.1162/neco.1994.6.5.767zbMath0814.68113OpenAlexW1975124385MaRDI QIDQ4323328
Publication date: 16 February 1995
Published in: Neural Computation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1162/neco.1994.6.5.767
Foundations and philosophical topics in statistics (62A01) Learning and adaptive systems in artificial intelligence (68T05) Applications of Markov chains and discrete-time Markov processes on general state spaces (social mobility, learning theory, industrial processes, etc.) (60J20)
Related Items (11)
Understanding autoencoders with information theoretic concepts ⋮ Self-enhancement learning: target-creating learning and its application to self-organizing maps ⋮ Cooperation in self-organizing map networks enhances information transmission in the presence of input background activity ⋮ Self-organizing maps and clustering methods for matrix data ⋮ Bayesian methods for neural networks and related models ⋮ Cost functions for pairwise data clustering ⋮ Adaptive nonlinear manifolds and their applications to pattern recognition ⋮ Smoothly distributed fuzzy \(c\)-means: A new self-organizing map ⋮ A PROBABILISTIC SELF-ORGANIZING MAP FOR BINARY DATA TOPOGRAPHIC CLUSTERING ⋮ Self-organized formation of a set of scaling filters and their neighbouring connections ⋮ Transition times in self-organizing maps
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