1900 search results - page 150 / 380 » Gaussian Processes in Machine Learning |
ICALT
2005
IEEE
14 years 3 months ago
2005
IEEE
Using cases for teaching and learning has received growing attention in teacher training programs. This project intends to build a web forum for student teachers to discuss their ...
ICML
1994
IEEE
14 years 1 months ago
1994
IEEE
In the Markov decision process (MDP) formalization of reinforcement learning, a single adaptive agent interacts with an environment defined by a probabilistic transition function....
COGSCI
2002
13 years 10 months ago
2002
This paper presents an implemented computational model of word acquisition which learns directly from raw multimodal sensory input. Set in an information theoretic framework, the ...
ICML
2001
IEEE
14 years 11 months ago
2001
IEEE
Hierarchical reinforcement learning (RL) is a general framework which studies how to exploit the structure of actions and tasks to accelerate policy learning in large domains. Pri...
COLT
2008
Springer
14 years 10 hour ago
2008
Springer
We study distribution-dependent, data-dependent, learning in the limit with adversarial disturbance. We consider an optimization-based approach to learning binary classifiers from...