200 search results - page 1 / 40 » On the Consistency of Discrete Bayesian Learning |
STACS
2007
Springer
13 years 11 months ago
2007
Springer
ICML
1996
IEEE
14 years 5 months ago
1996
IEEE
We introduce a method for learning Bayesian networks that handles the discretization of continuous variables as an integral part of the learning process. The main ingredient in th...
UAI
1998
13 years 6 months ago
1998
In this paper we address the problem of discretization in the context of learning Bayesian networks (BNs) from data containing both continuous and discrete variables. We describe ...
NIPS
2008
13 years 6 months ago
2008
Kernel supervised learning methods can be unified by utilizing the tools from regularization theory. The duality between regularization and prior leads to interpreting regularizat...
ICML
2006
IEEE
14 years 5 months ago
2006
IEEE
Reinforcement learning (RL) was originally proposed as a framework to allow agents to learn in an online fashion as they interact with their environment. Existing RL algorithms co...