2295 search results - page 28 / 459 » Learning Overcomplete Representations |
107
click to vote
FLAIRS
2003
15 years 3 months ago
2003
This paper addresses the problem of improving the representation space in a rule-based intelligent system, through exception-based learning. Such a system generally learns rules c...
114
Voted
ICML
2008
IEEE
16 years 3 months ago
2008
IEEE
Rich representations in reinforcement learning have been studied for the purpose of enabling generalization and making learning feasible in large state spaces. We introduce Object...
116
click to vote
AIED
2009
Springer
15 years 9 months ago
2009
Springer
We describe a novel framework developed for transfer learning within reinforcement learning (RL) problems. Then we exhibit how this framework can be extended to intelligent tutorin...
141
click to vote
AAAI
2004
15 years 3 months ago
2004
Representing lexicons and sentences with the subsymbolic approach (using techniques such as Self Organizing Map (SOM) or Artificial Neural Network (ANN)) is a relatively new but i...
152
click to vote
PAMI
2012
13 years 4 months ago
2012
—Modeling data with linear combinations of a few elements from a learned dictionary has been the focus of much recent research in machine learning, neuroscience, and signal proce...