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» Approximate algorithms for neural-Bayesian approaches
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66
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GECCO
2003
Springer
15 years 3 months ago
Effective Use of Directional Information in Multi-objective Evolutionary Computation
While genetically inspired approaches to multi-objective optimization have many advantages over conventional approaches, they do not explicitly exploit directional/gradient informa...
Martin Brown, Robert E. Smith
85
Voted
ICCBR
2003
Springer
15 years 3 months ago
Using Evolution Programs to Learn Local Similarity Measures
Abstract. The definition of similarity measures is one of the most crucial aspects when developing case-based applications. In particular, when employing similarity measures that ...
Armin Stahl, Thomas Gabel
82
Voted
ICASSP
2011
IEEE
14 years 2 months ago
Finding curves in SAR CCD images
This paper introduces a pattern recognition and computer vision approach to mitigating false alarms in synthetic aperture radar (SAR) coherence change detection (CCD) images. In t...
Miriam Cha, Rhonda Phillips, Michael Yee
77
Voted
WINE
2009
Springer
93views Economy» more  WINE 2009»
15 years 4 months ago
On Stackelberg Pricing with Computationally Bounded Consumers
In a Stackelberg pricing game a leader aims to set prices on a subset of a given collection of items, such as to maximize her revenue from a follower purchasing a feasible subset o...
Patrick Briest, Martin Hoefer, Luciano Gualà...
87
Voted
SIGECOM
2010
ACM
154views ECommerce» more  SIGECOM 2010»
15 years 3 months ago
Ranking games that have competitiveness-based strategies
This paper studies —from the perspective of efficient computation— a type of competition that is widespread throughout the plant and animal kingdoms, higher education, politic...
Leslie Ann Goldberg, Paul W. Goldberg, Piotr Kryst...