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GECCO
2009
Springer
15 years 11 months ago
The sensitivity of HyperNEAT to different geometric representations of a problem
HyperNEAT, a generative encoding for evolving artificial neural networks (ANNs), has the unique and powerful ability to exploit the geometry of a problem (e.g., symmetries) by enc...
Jeff Clune, Charles Ofria, Robert T. Pennock
GECCO
2009
Springer
204views Optimization» more  GECCO 2009»
15 years 11 months ago
Combined structure and motion extraction from visual data using evolutionary active learning
We present a novel stereo vision modeling framework that generates approximate, yet physically-plausible representations of objects rather than creating accurate models that are c...
Krishnanand N. Kaipa, Josh C. Bongard, Andrew N. M...
GI
2009
Springer
15 years 11 months ago
Challenges of Electronic CAD in the Nano Scale Era
: Future nano scale devices will expose different characteristics than todays silicon devices. While the exponential growth of non recurring expenses (NRE, mostly due to mask sets)...
Christian Hochberger, Andreas Koch
HAIS
2009
Springer
15 years 11 months ago
A Generic and Extendible Multi-Agent Data Mining Framework
A generic and extendible Multi-Agent Data Mining (MADM) framework, EMADS (the Extendible Multi-Agent Data mining System) is described. The central feature of the framework is that ...
Kamal Ali Albashiri, Frans Coenen
169
Voted
MFCS
2009
Springer
15 years 11 months ago
Time-Bounded Kolmogorov Complexity and Solovay Functions
Abstract. A Solovay function is a computable upper bound g for prefixfree Kolmogorov complexity K that is nontrivial in the sense that g agrees with K, up to some additive constan...
Rupert Hölzl, Thorsten Kräling, Wolfgang...
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