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GECCO
2011
Springer
264views Optimization» more  GECCO 2011»
14 years 1 months ago
Critical factors in the performance of novelty search
Novelty search is a recently proposed method for evolutionary computation designed to avoid the problem of deception, in which the fitness function guides the search process away...
Steijn Kistemaker, Shimon Whiteson
WWW
2007
ACM
15 years 10 months ago
Cantina: a content-based approach to detecting phishing web sites
Phishing is a significant problem involving fraudulent email and web sites that trick unsuspecting users into revealing private information. In this paper, we present the design, ...
Jason I. Hong, Lorrie Faith Cranor, Yue Zhang 0002
PODS
2006
ACM
134views Database» more  PODS 2006»
15 years 10 months ago
Approximate quantiles and the order of the stream
Recently, there has been an increased focus on modeling uncertainty by distributions. Suppose we wish to compute a function of a stream whose elements are samples drawn independen...
Sudipto Guha, Andrew McGregor
OR
2005
Springer
15 years 3 months ago
Optimal Fares for Public Transport
The fare planning problem for public transport is to design a system of fares that maximize the revenue. We introduce a nonlinear optimization model to approach this problem. It i...
Ralf Borndörfer, Marika Neumann, Marc E. Pfet...
ESANN
2007
14 years 11 months ago
How to process uncertainty in machine learning?
Uncertainty is a popular phenomenon in machine learning and a variety of methods to model uncertainty at different levels has been developed. The aim of this paper is to motivate ...
Barbara Hammer, Thomas Villmann