3050 search results - page 5 / 610 » On-line Algorithms in Machine Learning |
AUSAI
2005
Springer
14 years 29 days ago
2005
Springer
: In order to scale to problems with large or continuous state-spaces, reinforcement learning algorithms need to be combined with function approximation techniques. The majority of...
WISE
2000
Springer
13 years 11 months ago
2000
Springer
In this paper we report our research on building WebSail { an intelligent web search engine that is able to perform real-time adaptive learning. WebSail learns from the user'...
ICPR
2010
IEEE
14 years 1 months ago
2010
IEEE
—Randomized learning methods (i.e., Forests or Ferns) have shown excellent capabilities for various computer vision applications. However, it was shown that the tree structure in...
AROBOTS
2002
13 years 7 months ago
2002
To navigate in unknown environments, mobile robots require the ability to build their own maps. A major problem for robot map building is that odometry-based dead reckoning cannot ...
CI
2010
13 years 7 months ago
2010
Some domains, such as real-time strategy (RTS) games, pose several challenges to traditional planning and machine learning techniques. In this paper, we present a novel on-line ca...