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» Learning Algorithms for Domain Adaptation
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ILP
2007
Springer
15 years 9 months ago
Building Relational World Models for Reinforcement Learning
Abstract. Many reinforcement learning domains are highly relational. While traditional temporal-difference methods can be applied to these domains, they are limited in their capaci...
Trevor Walker, Lisa Torrey, Jude W. Shavlik, Richa...
ICEB
2004
279views Business» more  ICEB 2004»
15 years 4 months ago
Adaptive User Interfaces for Intelligent E-Learning: Issues and Trends
Adaptive User Interfaces have a long history rooted in the emergence of such eminent technologies as Artificial Intelligence, Soft Computing, Graphical User Interface, JAVA, Inter...
Abdul Rahim Ahmad, Otman A. Basir, Khaled Hassanei...
BMVC
2002
15 years 5 months ago
Adaptive Learning of Statistical Appearance Models for 3D Human Tracking
A likelihood formulation for human tracking is presented based upon matching feature statistics on the surface of an articulated 3D body model. A benefit of such a formulation ove...
Timothy J. Roberts, Stephen J. McKenna, Ian W. Ric...
IUI
2005
ACM
15 years 8 months ago
Adaptive teaching strategy for online learning
Finding the optimal teaching strategy for an individual student is difficult even for an experienced teacher. Identifying and incorporating multiple optimal teaching strategies fo...
Jungsoon P. Yoo, Cen Li, Chrisila C. Pettey
AIIDE
2006
15 years 4 months ago
Incorporating Advice into Neuroevolution of Adaptive Agents
Neuroevolution is a promising learning method in tasks with extremely large state and action spaces and hidden states. Recent advances allow neuroevolution to take place in real t...
Chern Han Yong, Kenneth O. Stanley, Risto Miikkula...