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AIPS
2004
13 years 11 months ago
Heuristic Refinements of Approximate Linear Programming for Factored Continuous-State Markov Decision Processes
Approximate linear programming (ALP) offers a promising framework for solving large factored Markov decision processes (MDPs) with both discrete and continuous states. Successful ...
Branislav Kveton, Milos Hauskrecht
BICOB
2010
Springer
13 years 8 months ago
Iterative Split Adjustment for Building Multilabel Decision Trees
A decision tree induction method for multilabel classification tasks (IS-MLT) is presented which uses an iterative approach for determining the best split at each node. The propo...
Aiyesha Ma, Ishwar K. Sethi
ISAAC
2005
Springer
127views Algorithms» more  ISAAC 2005»
14 years 3 months ago
Decision Making Based on Approximate and Smoothed Pareto Curves
Abstract. We consider bicriteria optimization problems and investigate the relationship between two standard approaches to solving them: (i) computing the Pareto curve and (ii) the...
Heiner Ackermann, Alantha Newman, Heiko Rögli...
TIT
2008
90views more  TIT 2008»
13 years 9 months ago
On Optimal Quantization Rules for Some Problems in Sequential Decentralized Detection
We consider the design of systems for sequential decentralized detection, a problem that entails several interdependent choices: the choice of a stopping rule (specifying the samp...
XuanLong Nguyen, Martin J. Wainwright, Michael I. ...
COMPSYSTECH
2007
14 years 1 months ago
Shopping robots and e-commerce
Abstract: The paper analyzes features, roles and functions of shopbots, comparing them to nonvirtual intermediaries. The aim is to understand how they can support and optimize deci...
Antonella Reitano