573 search results - page 2 / 115 » Probabilistic Explanation Based Learning |
IAT
2010
IEEE
13 years 2 months ago
2010
IEEE
It is widely acknowledged that providing explanations is an important capability of intelligent systems. Explanation capabilities are useful, for example, in scenario-based traini...
IJCAI
2007
13 years 6 months ago
2007
Machine learning for predicting user clicks in Webbased search offers automated explanation of user activity. We address click prediction in the Web search scenario by introducing...
ICML
1997
IEEE
14 years 5 months ago
1997
IEEE
Explanation-Based Reinforcement Learning (EBRL) was introduced by Dietterich and Flann as a way of combining the ability of Reinforcement Learning (RL) to learn optimal plans with...
UAI
2003
13 years 6 months ago
2003
Collaborative filtering (CF) and contentbased filtering (CBF) have widely been used in information filtering applications, both approaches having their individual strengths and...
RR
2010
Springer
13 years 3 months ago
2010
Springer
For multimedia interpretation, and in particular for the combined interpretation of information coming from different modalities, a semantically well-founded formalization is requ...