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CPE
1998
Springer
81views Hardware» more  CPE 1998»
13 years 9 months ago
Experiments with Improved Approximate Mean Value Analysis Algorithms
Abstract. Approximate Mean Value Analysis (MVA) is a popular technique for analyzing queueing networks because of the efficiency and accuracy that it affords. In this paper, we pre...
Hai Wang, Kenneth C. Sevcik
ICCBR
2007
Springer
13 years 11 months ago
An Analysis of Case-Based Value Function Approximation by Approximating State Transition Graphs
We identify two fundamental points of utilizing CBR for an adaptive agent that tries to learn on the basis of trial and error without a model of its environment. The first link co...
Thomas Gabel, Martin Riedmiller
SODA
2010
ACM
397views Algorithms» more  SODA 2010»
14 years 2 months ago
Improved Approximation Algorithms for the Minimum Latency Problem via Prize-Collecting Strolls
The minimum latency problem (MLP) is a well-studied variant of the traveling salesman problem (TSP). In the MLP, the server's goal is to minimize the average latency that the...
Aaron Archer, Anna Blasiak
VALUETOOLS
2006
ACM
176views Hardware» more  VALUETOOLS 2006»
13 years 11 months ago
How to solve large scale deterministic games with mean payoff by policy iteration
Min-max functions are dynamic programming operators of zero-sum deterministic games with finite state and action spaces. The problem of computing the linear growth rate of the or...
Vishesh Dhingra, Stephane Gaubert
ICLP
2010
Springer
13 years 8 months ago
Improving the Efficiency of Gibbs Sampling for Probabilistic Logical Models by Means of Program Specialization
Abstract. There is currently a large interest in probabilistic logical models. A popular algorithm for approximate probabilistic inference with such models is Gibbs sampling. From ...
Daan Fierens