1164 search results - page 35 / 233 » A Model Selection Approach for Local Learning |
AAAI
2008
13 years 10 months ago
2008
Off-policy reinforcement learning is aimed at efficiently reusing data samples gathered in the past, which is an essential problem for physically grounded AI as experiments are us...
GRAPHICSINTERFACE
2009
13 years 5 months ago
2009
When editing a graphical document, it is common to apply a change to multiple items at once, and a variety of tools exist for selecting sets of items. However, directly selecting ...
ROBOCUP
2007
Springer
14 years 1 months ago
2007
Springer
Reinforcement learning is a paradigm under which an agent seeks to improve its policy by making learning updates based on the experiences it gathers through interaction with the en...
CVPR
2008
IEEE
14 years 9 months ago
2008
IEEE
In this paper, we address the problems of deformable object matching (alignment) and segmentation with cluttered background. We propose a novel hierarchical log-linear model (HLLM...
CIKM
2006
Springer
13 years 11 months ago
2006
Springer
It is important yet hard to identify navigational queries in Web search due to a lack of sufficient information in Web queries, which are typically very short. In this paper we st...