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» Approximate algorithms for neural-Bayesian approaches
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APPROX
2008
Springer
107views Algorithms» more  APPROX 2008»
14 years 11 months ago
A General Framework for Designing Approximation Schemes for Combinatorial Optimization Problems with Many Objectives Combined in
Abstract. In this paper, we propose a general framework for designing fully polynomial time approximation schemes for combinatorial optimization problems, in which more than one ob...
Shashi Mittal, Andreas S. Schulz
AAMAS
2007
Springer
14 years 9 months ago
Parallel Reinforcement Learning with Linear Function Approximation
In this paper, we investigate the use of parallelization in reinforcement learning (RL), with the goal of learning optimal policies for single-agent RL problems more quickly by us...
Matthew Grounds, Daniel Kudenko
181
Voted
ICDE
2008
IEEE
162views Database» more  ICDE 2008»
15 years 11 months ago
Adaptive Approximate Similarity Searching through Metric Social Networks
Exploiting the concepts of social networking represents a novel approach to the approximate similarity query processing. We present a metric social network where relations between...
Jan Sedmidubský, Pavel Zezula, Stanislav Ba...
69
Voted
ICASSP
2008
IEEE
15 years 4 months ago
A factor graph approach to joint iterative data detection and channel estimation in pilot-assisted IDMA transmissions
We consider a pilot-assisted interleave-division multiple access (IDMA) system transmitting over block-fading channels. We describe this system in terms of a factor graph and use ...
Clemens Novak, Gerald Matz, Franz Hlawatsch
ALGORITHMICA
2010
141views more  ALGORITHMICA 2010»
14 years 9 months ago
Parameterized Complexity and Local Search Approaches for the Stable Marriage Problem with Ties
Abstract. We consider the variant of the classical Stable Marriage problem where preference lists can be incomplete and may contain ties. In such a setting, finding a stable matchi...
Dániel Marx, Ildikó Schlotter