1900 search results - page 140 / 380 » Gaussian Processes in Machine Learning |
ICML
2007
IEEE
14 years 11 months ago
2007
IEEE
By the term "quantization", we refer to the process of using quantum mechanics in order to improve a classical algorithm, usually by making it go faster. In this paper, ...
ICML
2007
IEEE
14 years 11 months ago
2007
IEEE
We propose a formulation of the Decision Tree learning algorithm in the Compression settings and derive tight generalization error bounds. In particular, we propose Sample Compres...
ECML
2006
Springer
14 years 1 months ago
2006
Springer
Abstract. This paper studies a Bayesian framework for density modeling with mixture of exponential family distributions. Variational Bayesian Dirichlet-Multinomial allocation (VBDM...
ML
2002
ACM
13 years 9 months ago
2002
ACM
Abstract. The problemof state abstractionis of centralimportancein optimalcontrol,reinforcement learning and Markov decision processes. This paper studies the case of variable reso...
ITS
2010
Springer
14 years 3 months ago
2010
Springer
Accelerated future learning, in which learning proceeds more effectively and more rapidly because of prior learning, is considered to be one of the most interesting measures of ro...