288 search results - page 4 / 58 » Bayesian Learning of Sparse Classifiers |
CORR
2011
Springer
13 years 3 months ago
2011
Springer
— We address the sparse signal recovery problem in the context of multiple measurement vectors (MMV) when elements in each nonzero row of the solution matrix are temporally corre...
ICPR
2010
IEEE
13 years 7 months ago
2010
IEEE
In this paper we redefine and generalize the classic k-nearest neighbors (k-NN) voting rule in a Bayesian maximum-a-posteriori (MAP) framework. Therefore, annotated examples are u...
CVPR
2006
IEEE
14 years 11 months ago
2006
IEEE
AI
2001
Springer
14 years 1 months ago
2001
Springer
Abstract. This paper investigates the methods for learning predictive classifiers based on Bayesian belief networks (BN) – primarily unrestricted Bayesian networks and Bayesian m...
ICML
2005
IEEE
14 years 9 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...