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» A Practical Approach to Network-Based Processing
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JAIR
2006
160views more  JAIR 2006»
15 years 2 months ago
Anytime Point-Based Approximations for Large POMDPs
The Partially Observable Markov Decision Process has long been recognized as a rich framework for real-world planning and control problems, especially in robotics. However exact s...
Joelle Pineau, Geoffrey J. Gordon, Sebastian Thrun
OR
2006
Springer
15 years 2 months ago
An AHP model for construction contractor prequalification
Given that contractor plays a critical role in any construction project, contractor selection constitutes key decision for public authorities. Prequalification, i.e. the eliminati...
K. P. Anagnostopoulos, A. P. Vavatsikos
TCS
2008
15 years 2 months ago
Sequential and parallel triangulating algorithms for Elimination Game and new insights on Minimum Degree
1 Elimination Game is a well known algorithm that simulates Gaussian elimination of matrices on graphs, and it computes a triangulation of the input graph. The number of fill edge...
Anne Berry, Elias Dahlhaus, Pinar Heggernes, Genev...
ISI
2008
Springer
15 years 1 months ago
A framework for privacy-preserving cluster analysis
Abstract--Releasing person-specific data could potentially reveal sensitive information of individuals. k-anonymization is a promising privacy protection mechanism in data publishi...
Benjamin C. M. Fung, Ke Wang, Lingyu Wang, Mourad ...
CORR
2010
Springer
105views Education» more  CORR 2010»
15 years 1 months ago
Optimism in Reinforcement Learning Based on Kullback-Leibler Divergence
We consider model-based reinforcement learning in finite Markov Decision Processes (MDPs), focussing on so-called optimistic strategies. Optimism is usually implemented by carryin...
Sarah Filippi, Olivier Cappé, Aurelien Gari...