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GECCO
2010
Springer
155views Optimization» more  GECCO 2010»
14 years 3 months ago
Negative selection algorithms without generating detectors
Negative selection algorithms are immune-inspired classifiers that are trained on negative examples only. Classification is performed by generating detectors that match none of ...
Maciej Liskiewicz, Johannes Textor
EVOW
2001
Springer
14 years 3 months ago
Evolution of Spiking Neural Controllers for Autonomous Vision-Based Robots
Abstract. We describe a set of preliminary experiments to evolve spiking neural controllers for a vision-based mobile robot. All the evolutionary experiments are carried out on phy...
Dario Floreano, Claudio Mattiussi
ICCS
2001
Springer
14 years 3 months ago
High-Performance Algorithm Engineering for Computational Phylogenetics
Abstract. Phylogeny reconstruction from molecular data poses complex optimization problems: almost all optimization models are NP-hard and thus computationally intractable. Yet app...
Bernard M. E. Moret, David A. Bader, Tandy Warnow
ASYNC
2000
IEEE
122views Hardware» more  ASYNC 2000»
14 years 3 months ago
DUDES: A Fault Abstraction and Collapsing Framework for Asynchronous Circuits
Fault Abstraction and Collapsing Framework for Asynchronous Circuits Philip P. Shirvani, Subhasish Mitra Center for Reliable Computing Stanford University Stanford, CA Jo C. Eberge...
Philip P. Shirvani, Subhasish Mitra, Jo C. Ebergen...
STOC
2000
ACM
174views Algorithms» more  STOC 2000»
14 years 3 months ago
Noise-tolerant learning, the parity problem, and the statistical query model
We describe a slightly subexponential time algorithm for learning parity functions in the presence of random classification noise, a problem closely related to several cryptograph...
Avrim Blum, Adam Kalai, Hal Wasserman
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