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ALT
2003
Springer
13 years 11 months ago
Efficiently Learning the Metric with Side-Information
Abstract. A crucial problem in machine learning is to choose an appropriate representation of data, in a way that emphasizes the relations we are interested in. In many cases this ...
Tijl De Bie, Michinari Momma, Nello Cristianini
GECCO
2007
Springer
175views Optimization» more  GECCO 2007»
14 years 2 months ago
An evolutionary multiobjective approach to design highly non-linear Boolean functions
The proliferation of all kinds of devices with different security requirements and constraints, and the arms-race nature of the security problem are increasingly demanding the de...
Hernán E. Aguirre, Hiroyuki Okazaki, Yasush...
KES
2008
Springer
13 years 7 months ago
Knowledge-based genetic algorithm for university course timetabling problems
This paper discusses a new solution to university course timetabling problems. The problems that belong to the NP-hard class are very difficult to solve using conventional optimiza...
Hitoshi Kanoh, Yuusuke Sakamoto
ICEIS
2006
IEEE
14 years 1 months ago
Filtering Unsatisfiable XPATH Queries
The satisfiability test checks, whether or not the evaluation of a query returns the empty set for any input document, and can be used in query optimization for avoiding the submis...
Jinghua Groppe, Sven Groppe
SIAMJO
2002
124views more  SIAMJO 2002»
13 years 7 months ago
The Sample Average Approximation Method for Stochastic Discrete Optimization
In this paper we study a Monte Carlo simulation based approach to stochastic discrete optimization problems. The basic idea of such methods is that a random sample is generated and...
Anton J. Kleywegt, Alexander Shapiro, Tito Homem-d...