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» Exploiting domain knowledge to improve norm synthesis
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AAAI
2010
13 years 9 months ago
Hydra: Automatically Configuring Algorithms for Portfolio-Based Selection
The AI community has achieved great success in designing high-performance algorithms for hard combinatorial problems, given both considerable domain knowledge and considerable eff...
Lin Xu, Holger Hoos, Kevin Leyton-Brown
IJVR
2006
124views more  IJVR 2006»
13 years 7 months ago
Improving Virtual Reality Applications in CAD through Semantics
In this article we propose an architecture for the inclusion and exploitation of semantic aspects in a CAD environment. Our schema focuses on the enhancement and improvement of a c...
Carlos Toro, Jorge Posada, Stefan Wundrak, Andr&ea...
GECCO
2007
Springer
276views Optimization» more  GECCO 2007»
14 years 1 months ago
Meta-optimizing semantic evolutionary search
I present MOSES (meta-optimizing semantic evolutionary search), a new probabilistic modeling (estimation of distribution) approach to program evolution. Distributions are not esti...
Moshe Looks
ICASSP
2008
IEEE
14 years 1 months ago
Time-frequency localization from sparsity constraints
In the case of multicomponent AM-FM signals, the idealized representation which consists of weighted trajectories on the time-frequency (TF) plane, is intrinsically sparse. Recent...
Pierre Borgnat, Patrick Flandrin
BMCBI
2005
122views more  BMCBI 2005»
13 years 7 months ago
A neural strategy for the inference of SH3 domain-peptide interaction specificity
Background: The SH3 domain family is one of the most representative and widely studied cases of so-called Peptide Recognition Modules (PRM). The polyproline II motif PxxP that gen...
Enrico Ferraro, Allegra Via, Gabriele Ausiello, Ma...