Self-organization and associative memory: 3rd edition
Self-organization and associative memory: 3rd edition
Maximum likelihood competitive learning
Advances in neural information processing systems 2
A practical Bayesian framework for backpropagation networks
Neural Computation
Statistical physics, mixtures of distributions, and the EM algorithm
Neural Computation
Self-organization as an iterative kernel smoothing process
Neural Computation
Bayesian Sampling and Ensemble Learning in Generative Topographic Mapping
Neural Processing Letters
Generative probability density model in the self-organizing map
Self-Organizing neural networks
Joint entropy maximization in kernel-based topographic maps
Neural Computation
On the Emulation of Kohonen's Self-Organization via Single-Map Metropolis-Hastings Algorithms
ICCS '01 Proceedings of the International Conference on Computational Science-Part II
Evolving High-Posterior Self-Organizing Maps
IWANN '01 Proceedings of the 6th International Work-Conference on Artificial and Natural Neural Networks: Connectionist Models of Neurons, Learning Processes and Artificial Intelligence-Part I
Kernel-based topographic map formation achieved with an information-theoretic approach
Neural Networks - New developments in self-organizing maps
Density Estimation by Mixture Models with Smoothing Priors
Neural Computation
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
Differential priors for elastic nets
IDEAL'05 Proceedings of the 6th international conference on Intelligent Data Engineering and Automated Learning
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