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131
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TSP
2008
167views more  TSP 2008»
14 years 11 months ago
Multi-Task Learning for Analyzing and Sorting Large Databases of Sequential Data
A new hierarchical nonparametric Bayesian framework is proposed for the problem of multi-task learning (MTL) with sequential data. The models for multiple tasks, each characterize...
Kai Ni, John William Paisley, Lawrence Carin, Davi...
124
Voted
CP
1999
Springer
15 years 5 months ago
Search Procedures and Parallelism in Constraint Programming
Abstract. In this paper, we present a major improvement in the search procedures in constraint programming. First, we integrate various search procedures from AI and OR. Second, we...
Laurent Perron
99
Voted
CEC
2010
IEEE
14 years 10 months ago
A hybrid multi-objective extremal optimisation approach for multi-objective combinatorial optimisation problems
Extremal optimisation (EO) is a relatively recent nature-inspired heuristic whose search method is especially suitable to solve combinatorial optimisation problems. To date, most o...
Pedro Gómez-Meneses, Marcus Randall, Andrew...
CIAC
2000
Springer
105views Algorithms» more  CIAC 2000»
15 years 5 months ago
Algorithms for a Simple Point Placement Problem
We consideralgorithms for a simple one-dimensionalpoint placement problem: given N points on a line, and noisy measurements of the distances between many pairs of them, estimate th...
Joshua Redstone, Walter L. Ruzzo
88
Voted
EOR
2008
78views more  EOR 2008»
15 years 26 days ago
Discounted MEAN bound for the optimal searcher path problem with non-uniform travel times
We consider an extension of the optimal searcher path problem (OSP), where a searcher moving through a discretised environment may now need to spend a nonuniform amount of time tr...
Haye Lau, Shoudong Huang, Gamini Dissanayake