Keeping the neural networks simple by minimizing the description length of the weights

Comparison of approximate methods for handling hyperparameters

Neural Computation

An Introduction to Variational Methods for Graphical Models

Machine Learning

An introduction to hidden Markov models and Bayesian networks

Hidden Markov models

Bayesian parameter estimation via variational methods

Statistics and Computing

Approximate algorithms for neural-Bayesian approaches

Theoretical Computer Science - Natural computing

An unsupervised ensemble learning method for nonlinear dynamic state-space models

Neural Computation

Variational mixture of Bayesian independent component analyzers

Neural Computation

Independent Variable Group Analysis

ICANN '01 Proceedings of the International Conference on Artificial Neural Networks

Accelerating Cyclic Update Algorithms for Parameter Estimation by Pattern Searches

Neural Processing Letters

On different facets of regularization theory

Neural Computation

Blind decomposition of multimodal evoked responses and DC fields

Exploratory analysis and data modeling in functional neuroimaging

Hierarchical models of variance sources

Signal Processing - Special issue on independent components analysis and beyond

Architecture-Independent Approximation of Functions

Neural Computation

Variational Bayes Solution of Linear Neural Networks and Its Generalization Performance

Neural Computation

Building Blocks for Variational Bayesian Learning of Latent Variable Models

The Journal of Machine Learning Research

2007 Special Issue: A variational EM approach to predictive uncertainty

Neural Networks

Hopfield Network as Static Optimizer: Learning the Weights and Eliminating the Guesswork

Neural Processing Letters

The effects of adding noise during backpropagation training on a generalization performance

Neural Computation

Bayesian probabilistic matrix factorization using Markov chain Monte Carlo

Proceedings of the 25th international conference on Machine learning

An Evolutionary Multi-objective Neural Network Optimizer with Bias-Based Pruning Heuristic

ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Advances in Neural Networks, Part III

Upper bound for variational free energy of Bayesian networks

Machine Learning

2009 Special Issue: Cortical circuits for perceptual inference

Neural Networks

Generalization error of linear neural networks in an empirical bayes approach

IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence

Artificial intelligence in genomic sequence, protein structure function prediction and DNA microarrays: a survey

International Journal of Computational Intelligence in Bioinformatics and Systems Biology

Bayesian k-Means as a "Maximization-expectation" algorithm

Neural Computation

A study of ensemble of hybrid networks with strong regularization

MCS'03 Proceedings of the 4th international conference on Multiple classifier systems

Image statistics and local spatial conditions for nonstationary blurred image reconstruction

Proceedings of the 29th DAGM conference on Pattern recognition

Generalization error of automatic relevance determination

ICANN'07 Proceedings of the 17th international conference on Artificial neural networks

Practical Approaches to Principal Component Analysis in the Presence of Missing Values

The Journal of Machine Learning Research

Joint NDT image restoration and segmentation using gauss-Markov-Potts prior models and variational Bayesian computation

IEEE Transactions on Image Processing

The classification game: complexity regularization through interaction

COIN'09 Proceedings of the 5th international conference on Coordination, organizations, institutions, and norms in agent systems

Structural enhanced information and its application to improved visualization of self-organizing maps

Applied Intelligence

Two design methods of hyperparameters in variational Bayes learning for Bernoulli mixtures

Neurocomputing

Dealing with limited data in ballistic impact scenarios: an empirical comparison of different neural network approaches

Applied Intelligence

Analytic solution of hierarchical variational bayes in linear inverse problem

ICANN'06 Proceedings of the 16th international conference on Artificial Neural Networks - Volume Part II

Training neural networks using multiobjective particle swarm optimization

ICNC'06 Proceedings of the Second international conference on Advances in Natural Computation - Volume Part I

Bayesian population modeling of effective connectivity.

IPMI'05 Proceedings of the 19th international conference on Information Processing in Medical Imaging

Upper bounds for variational stochastic complexities of bayesian networks

IDEAL'06 Proceedings of the 7th international conference on Intelligent Data Engineering and Automated Learning

Stochastic variational inference

The Journal of Machine Learning Research

Lazy overfitting control

MLDM'13 Proceedings of the 9th international conference on Machine Learning and Data Mining in Pattern Recognition