2440 search results - page 187 / 488 » Learn .MT: A New Approach to Incremental Learning |
170
click to vote
ICRA
2010
IEEE
15 years 5 months ago
2010
IEEE
— Teaching a robot to learn new knowledge is a repetitive and tedious process. In order to accelerate the process, we propose a novel template-based approach for robot arm moveme...
212
click to vote
ATAL
2005
Springer
16 years 5 days ago
2005
Springer
Reinforcement learning problems are commonly tackled with temporal difference methods, which use dynamic programming and statistical sampling to estimate the long-term value of ta...
182
click to vote
AUSAI
2008
Springer
15 years 8 months ago
2008
Springer
Classifiers are traditionally learned using sets of positive and negative training examples. However, often a classifier is required, but for training only an incomplete set of pos...
170
click to vote
UAI
1993
15 years 8 months ago
1993
In previous work we developed a method of learning Bayesian Network models from raw data. This method relies on the well known minimal description length (MDL) principle. The MDL ...
177
click to vote
DAC
2006
ACM
16 years 7 months ago
2006
ACM
Design and verification of systems at the Register-Transfer (RT) or behavioral level require the ability to reason at higher levels of abstraction. Difference logic consists of an...