73 search results - page 1 / 15 » Sparse Bayesian Learning Based on an Efficient Subset Select... |
ISNN
2004
Springer
13 years 10 months ago
2004
Springer
Based on rank-1 update, Sparse Bayesian Learning Algorithm (SBLA) is proposed. SBLA has the advantages of low complexity and high sparseness, being very suitable for large scale pr...
ICCV
2009
IEEE
14 years 9 months ago
2009
IEEE
Many machine learning algorithms require the summation of Gaussian kernel
functions, an expensive operation if implemented straightforwardly. Several methods
have been proposed t...
PKDD
2010
Springer
13 years 3 months ago
2010
Springer
In this paper we propose a Bayesian model for multi-task feature selection. This model is based on a generalized spike and slab sparse prior distribution that enforces the selectio...
ICML
2005
IEEE
14 years 5 months ago
2005
IEEE
We present an efficient "sparse sampling" technique for approximating Bayes optimal decision making in reinforcement learning, addressing the well known exploration vers...
AAAI
2004
13 years 6 months ago
2004
The aim of this paper is to compare Bayesian network classifiers to the k-NN classifier based on a subset of features. This subset is established by means of sequential feature se...