159 search results - page 17 / 32 » Bayesian Networks Optimization Based on Induction Learning T... |
AAAI
2006
13 years 8 months ago
2006
Recent years have witnessed a growing interest in interactive narrative-centered virtual environments for education, training, and entertainment. Narrative environments dynamicall...
AI
1998
Springer
13 years 6 months ago
1998
Springer
Reinforcement Learning (RL) is the study of programs that improve their performance by receiving rewards and punishments from the environment. Most RL methods optimize the discoun...
ICDM
2008
IEEE
14 years 1 months ago
2008
IEEE
Zero-norm, defined as the number of non-zero elements in a vector, is an ideal quantity for feature selection. However, minimization of zero-norm is generally regarded as a combi...
NN
2008
Springer
13 years 6 months ago
2008
Springer
Learning data representations is a fundamental challenge in modeling neural processes and plays an important role in applications such as object recognition. In multi-stage Optima...
ESANN
2001
13 years 8 months ago
2001
This paper describes a method of supervised learning based on forward selection branching. This method improves fault tolerance by means of combining information related to general...