743 search results - page 61 / 149 » Solving the Multiple-Instance Problem: A Lazy Learning Appro... |
ICML
2003
IEEE
14 years 9 months ago
2003
IEEE
Hierarchical reinforcement learning is a general framework which attempts to accelerate policy learning in large domains. On the other hand, policy gradient reinforcement learning...
ITS
2000
Springer
14 years 14 days ago
2000
Springer
DT Tutor uses a decision-theoretic approach to select tutorial actions for coached problem solving that are optimal given the tutor's beliefs and objectives. It employs a mode...
AAAI
2006
13 years 10 months ago
2006
Markov decision processes (MDPs) with discrete and continuous state and action components can be solved efficiently by hybrid approximate linear programming (HALP). The main idea ...
AUSAI
2008
Springer
13 years 11 months ago
2008
Springer
Learning Classifier System (LCS) is an effective tool to solve classification problems. Clustering with XCS (accuracy-based LCS) is a novel approach proposed recently. In this pape...
PRICAI
2004
Springer
14 years 2 months ago
2004
Springer
When we have a large amount of information, we usually use categories with a hierarchy, in which all information is assigned. This paper proposes a new method of integrating two ca...