111 search results - page 4 / 23 » Perspectives on Sparse Bayesian Learning |
ICML
2007
IEEE
16 years 13 days ago
2007
IEEE
In the paper we propose a new type of regularization procedure for training sparse Bayesian methods for classification. Transforming Hessian matrix of log-likelihood function to d...
ICML
2004
IEEE
16 years 13 days ago
2004
IEEE
Traditional non-parametric statistical learning techniques are often computationally attractive, but lack the same generalization and model selection abilities as state-of-the-art...
ICASSP
2011
IEEE
14 years 3 months ago
2011
IEEE
There has been a significant interest in the recovery of low-rank matrices from an incomplete of measurements, due to both theoretical and practical developments demonstrating th...
106
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MICCAI
2010
Springer
14 years 10 months ago
2010
Springer
Abstract. We apply sparse Bayesian learning methods, automatic relevance determination (ARD) and predictive ARD (PARD), to Alzheimer’s disease (AD) classification to make accura...
103
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ICASSP
2007
IEEE
15 years 6 months ago
2007
IEEE
Alterations in the number of DNA copies are very common in tumor cells and may have a very important role in cancer development and progression. New array platforms provide means ...