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UAI
1998
15 years 5 months ago
Flexible Decomposition Algorithms for Weakly Coupled Markov Decision Problems
This paper presents two new approaches to decomposing and solving large Markov decision problems (MDPs), a partial decoupling method and a complete decoupling method. In these app...
Ronald Parr
SIGECOM
2006
ACM
106views ECommerce» more  SIGECOM 2006»
15 years 10 months ago
Approximation algorithms and online mechanisms for item pricing
We present approximation and online algorithms for a number of problems of pricing items for sale so as to maximize seller’s revenue in an unlimited supply setting. Our first r...
Maria-Florina Balcan, Avrim Blum
PODS
2007
ACM
203views Database» more  PODS 2007»
16 years 4 months ago
Decision trees for entity identification: approximation algorithms and hardness results
We consider the problem of constructing decision trees for entity identification from a given relational table. The input is a table containing information about a set of entities...
Venkatesan T. Chakaravarthy, Vinayaka Pandit, Samb...
APPROX
2005
Springer
136views Algorithms» more  APPROX 2005»
15 years 10 months ago
What About Wednesday? Approximation Algorithms for Multistage Stochastic Optimization
The field of stochastic optimization studies decision making under uncertainty, when only probabilistic information about the future is available. Finding approximate solutions to...
Anupam Gupta, Martin Pál, R. Ravi, Amitabh ...
CIAC
2010
Springer
194views Algorithms» more  CIAC 2010»
15 years 9 months ago
An Algorithmic Framework for Motif Discovery Problems in Weighted Sequences
A weighted sequence is a string in which a set of characters may appear at each position with respective probabilities of occurrence. A common task is to locate a given motif in a ...
Hui Zhang, Qing Guo, Costas S. Iliopoulos