Finding overlapping components with MML
Statistics and Computing
Bayesian regression with input noise for high dimensional data
ICML '06 Proceedings of the 23rd international conference on Machine learning
Gaussian fields for semi-supervised regression and correspondence learning
Pattern Recognition
Learning a meta-level prior for feature relevance from multiple related tasks
Proceedings of the 24th international conference on Machine learning
Bayesian regression mixtures of experts for geo-referenced data
Intelligent Data Analysis
Using neural networks to model conditional multivariate densities
Neural Computation
Prediction intervals for neural network models
ICCOMP'05 Proceedings of the 9th WSEAS International Conference on Computers
Learning Deep Architectures for AI
Foundations and Trends® in Machine Learning
Gaussian process for long-term time-series forecasting
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
Subset based least squares subspace regression in RKHS
Neurocomputing
Recursive Bayesian recurrent neural networks for time-series modeling
IEEE Transactions on Neural Networks
Efficient learning and feature selection in high-dimensional regression
Neural Computation
Information Sciences: an International Journal
Bayesian robot system identification with input and output noise
Neural Networks
Switching and Learning in Feedback Systems
Neural network models for language acquisition: a brief survey
IDEAL'06 Proceedings of the 7th international conference on Intelligent Data Engineering and Automated Learning
Deep learning of representations: looking forward
SLSP'13 Proceedings of the First international conference on Statistical Language and Speech Processing
Uncertain: a first-order type for uncertain data
Proceedings of the 19th international conference on Architectural support for programming languages and operating systems
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