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241
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ICML
1995
IEEE
16 years 8 months ago
Ant-Q: A Reinforcement Learning Approach to the Traveling Salesman Problem
In this paper we introduce Ant-Q, a family of algorithms which present many similarities with Q-learning (Watkins, 1989), and which we apply to the solution of symmetric and asymm...
Luca Maria Gambardella, Marco Dorigo
STOC
2009
ACM
120views Algorithms» more  STOC 2009»
16 years 8 months ago
A constant-factor approximation for stochastic Steiner forest
We consider the stochastic Steiner forest problem: suppose we were given a collection of Steiner forest instances, and were guaranteed that a random one of these instances would a...
Anupam Gupta, Amit Kumar
198
Voted
CADE
2006
Springer
16 years 7 months ago
Stratified Context Unification Is NP-Complete
Context Unification is the problem to decide for a given set of second-order equations E where all second-order variables are unary, whether there exists a unifier, such that for e...
Jordi Levy, Manfred Schmidt-Schauß, Mateu Vi...
VLDB
2004
ACM
127views Database» more  VLDB 2004»
16 years 7 months ago
Querying high-dimensional data in single-dimensional space
In this paper, we propose a new tunable index scheme, called iMinMax(), that maps points in highdimensional spaces to single-dimensional values determined by their maximum or minim...
Cui Yu, Stéphane Bressan, Beng Chin Ooi, Kian-Lee...
278
Voted
SIGMOD
2005
ACM
126views Database» more  SIGMOD 2005»
16 years 7 months ago
Cost-Sensitive Reordering of Navigational Primitives
We present a method to evaluate path queries based on the novel concept of partial path instances. Our method (1) maximizes performance by means of sequential scans or asynchronou...
Carl-Christian Kanne, Matthias Brantner, Guido Moe...