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» The complexity of learning SUBSEQ(A)
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GECCO
2005
Springer
140views Optimization» more  GECCO 2005»
15 years 12 months ago
A comparison of evolutionary algorithms for system-level diagnosis
The size and complexity of systems based on multiple processing units demand techniques for the automatic diagnosis of their state. System-level diagnosis consists in determining ...
Bogdan Tomoyuki Nassu, Elias Procópio Duart...
GECCO
2005
Springer
142views Optimization» more  GECCO 2005»
15 years 12 months ago
Genetic programming: parametric analysis of structure altering mutation techniques
We hypothesize that the relationship between parameter settings, speci cally parameters controlling mutation, and performance is non-linear in genetic programs. Genetic programmin...
Alan Piszcz, Terence Soule
ICANN
2005
Springer
15 years 12 months ago
The LCCP for Optimizing Kernel Parameters for SVM
Abstract. Tuning hyper-parameters is a necessary step to improve learning algorithm performances. For Support Vector Machine classifiers, adjusting kernel parameters increases dra...
Sabri Boughorbel, Jean-Philippe Tarel, Nozha Bouje...
TCC
2005
Springer
103views Cryptology» more  TCC 2005»
15 years 11 months ago
Fair-Zero Knowledge
Abstract. We introduce Fair Zero-Knowledge, a multi-verifier ZK system where every proof is guaranteed to be “zero-knowledge for all verifiers.” That is, if an honest verifi...
Matt Lepinski, Silvio Micali, Abhi Shelat
WSTST
2005
Springer
15 years 11 months ago
Soft Modeling of Group Dynamics and Behavioral Attributes
: Social networks, religion and culture of human beings play a major role in the day-to-day activities performed by each individual in group oriented missions. The aggregation and ...
Soumya Banerjee, Ajith Abraham, Sang-Yong Han, P. ...