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ECML
2004
Springer
14 years 28 days ago
SWITCH: A Novel Approach to Ensemble Learning for Heterogeneous Data
The standard framework of machine learning problems assumes that the available data is independent and identically distributed (i.i.d.). However, in some applications such as image...
Rong Jin, Huan Liu
ATAL
2006
Springer
13 years 9 months ago
Selecting informative actions improves cooperative multiagent learning
In concurrent cooperative multiagent learning, each agent simultaneously learns to improve the overall performance of the team, with no direct control over the actions chosen by i...
Liviu Panait, Sean Luke
ATAL
2010
Springer
13 years 8 months ago
Assignment problem in requirements driven agent collaboration and its implementation
Requirements Driven Agent Collaboration (RDAC) is a mechanism where the self-interested service agents actively and autonomously search for the required services submitted by the ...
Jian Tang, Zhi Jin
EOR
2008
200views more  EOR 2008»
13 years 7 months ago
A dynamic stochastic programming model for international portfolio management
We develop a multi-stage stochastic programming model for international portfolio management in a dynamic setting. We model uncertainty in asset prices and exchange rates in terms...
Nikolas Topaloglou, Hercules Vladimirou, Stavros A...
ATAL
2007
Springer
14 years 1 months ago
A globally optimal algorithm for TTD-MDPs
In this paper, we discuss the use of Targeted Trajectory Distribution Markov Decision Processes (TTD-MDPs)—a variant of MDPs in which the goal is to realize a specified distrib...
Sooraj Bhat, David L. Roberts, Mark J. Nelson, Cha...