Learning and relearning in Boltzmann machines
Parallel distributed processing: explorations in the microstructure of cognition, vol. 1
Generalization by weight-elimination with application to forecasting
NIPS-3 Proceedings of the 1990 conference on Advances in neural information processing systems 3
Bayesian methods for adaptive models
Bayesian methods for adaptive models
Neural Computation
A practical Bayesian framework for backpropagation networks
Neural Computation
Keeping the neural networks simple by minimizing the description length of the weights
COLT '93 Proceedings of the sixth annual conference on Computational learning theory
A view of the EM algorithm that justifies incremental, sparse, and other variants
Learning in graphical models
Bayesian Learning for Neural Networks
Bayesian Learning for Neural Networks
Neural Networks for Pattern Recognition
Neural Networks for Pattern Recognition
Pattern Recognition and Neural Networks
Pattern Recognition and Neural Networks
On the Use of Evidence in Neural Networks
Advances in Neural Information Processing Systems 5, [NIPS Conference]
Bayesian Learning via Stochastic Dynamics
Advances in Neural Information Processing Systems 5, [NIPS Conference]
A review of Bayesian neural networks with an application to near infrared spectroscopy
IEEE Transactions on Neural Networks
A Full Bayesian Approach to Curve and Surface Reconstruction
Journal of Mathematical Imaging and Vision
Bayesian Sampling and Ensemble Learning in Generative Topographic Mapping
Neural Processing Letters
Approximate algorithms for neural-Bayesian approaches
Theoretical Computer Science - Natural computing
Application of Bayesian trained RBF networks to nonlinear time-series modeling
Signal Processing - From signal processing theory to implementation
Sparse bayesian learning and the relevance vector machine
The Journal of Machine Learning Research
The Bayesian backfitting relevance vector machine
ICML '04 Proceedings of the twenty-first international conference on Machine learning
Recovering 3D Human Pose from Monocular Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Robust Information Clustering Algorithm
Neural Computation
Online Model Selection Based on the Variational Bayes
Neural Computation
Assessing Approximate Inference for Binary Gaussian Process Classification
The Journal of Machine Learning Research
Stochastic spectral methods for efficient Bayesian solution of inverse problems
Journal of Computational Physics
BM3E: Discriminative Density Propagation for Visual Tracking
IEEE Transactions on Pattern Analysis and Machine Intelligence
Nonlinear system identification: From multiple-model networks to Gaussian processes
Engineering Applications of Artificial Intelligence
Dimensionality reduction and polynomial chaos acceleration of Bayesian inference in inverse problems
Journal of Computational Physics
Gaussian process dynamic programming
Neurocomputing
Heteroscedastic Probabilistic Linear Discriminant Analysis with Semi-supervised Extension
ECML PKDD '09 Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: Part II
Sparse image reconstruction for molecular imaging
IEEE Transactions on Image Processing
Efficient learning and feature selection in high-dimensional regression
Neural Computation
Nonlinear regression model generation using hyperparameter optimization
Computers & Mathematics with Applications
Super-Gaussian mixture source model for ICA
ICA'06 Proceedings of the 6th international conference on Independent Component Analysis and Blind Signal Separation
Multi-reservoir echo state network with sparse bayesian learning
ISNN'10 Proceedings of the 7th international conference on Advances in Neural Networks - Volume Part I
Journal of Computational Physics
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