A Variational Approach to Robust Regression
ICANN '01 Proceedings of the International Conference on Artificial Neural Networks
Incremental Sparse Kernel Machine
ICANN '02 Proceedings of the International Conference on Artificial Neural Networks
Advanced lectures on machine learning
Adaptive Sparseness for Supervised Learning
IEEE Transactions on Pattern Analysis and Machine Intelligence
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
Hierarchic Bayesian models for kernel learning
ICML '05 Proceedings of the 22nd international conference on Machine learning
A Problem of Pattern Recognition in Arrays of Interrelated Objects. Recognition Algorithm
Automation and Remote Control
Variational Bayes for Continuous Hidden Markov Models and Its Application to Active Learning
IEEE Transactions on Pattern Analysis and Machine Intelligence
On Bayesian classification with Laplace priors
Pattern Recognition Letters
Bayesian compressive sensing and projection optimization
Proceedings of the 24th international conference on Machine learning
On one method of non-diagonal regularization in sparse Bayesian learning
Proceedings of the 24th international conference on Machine learning
Sequential Bayesian kernel modelling with non-Gaussian noise
Neural Networks
Fuzzy relevance vector machine for learning from unbalanced data and noise
Pattern Recognition Letters
Probabilistic optimized ranking for multimedia semantic concept detection via RVM
CIVR '08 Proceedings of the 2008 international conference on Content-based image and video retrieval
Sparse Kernel Learning and the Relevance Units Machine
PAKDD '09 Proceedings of the 13th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining
Gaussian process approach for modelling of nonlinear systems
Engineering Applications of Artificial Intelligence
IEEE Transactions on Signal Processing
Exploiting structure in wavelet-based Bayesian compressive sensing
IEEE Transactions on Signal Processing
A growing and pruning method for radial basis function networks
IEEE Transactions on Neural Networks
DSP'09 Proceedings of the 16th international conference on Digital Signal Processing
An experimental analysis of the impact of accuracy degradation in SVM classification
International Journal of Computational Intelligence Studies
Combining pattern recognition modalities at the sensor level via kernel fusion
MCS'07 Proceedings of the 7th international conference on Multiple classifier systems
Efficient learning and feature selection in high-dimensional regression
Neural Computation
Relevance units latent variable model and nonlinear dimensionality reduction
IEEE Transactions on Neural Networks
Sparse Bayesian learning of filters for efficient image expansion
IEEE Transactions on Image Processing
Bayesian methods for fMRI time-series analysis using a nonstationary model for the noise
IEEE Transactions on Information Technology in Biomedicine - Special section on new and emerging technologies in bioinformatics and bioengineering
Multi-class sparse Bayesian regression for neuroimaging data analysis
MLMI'10 Proceedings of the First international conference on Machine learning in medical imaging
Computationally efficient sparse Bayesian learning via belief propagation
IEEE Transactions on Signal Processing
Logistic Stick-Breaking Process
The Journal of Machine Learning Research
Bayesian kernel projections for classification of high dimensional data
Statistics and Computing
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