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» Techniques for Optimization of Net Algorithms
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JCP
2007
127views more  JCP 2007»
15 years 6 months ago
Comparison of Simple Power Analysis Attack Resistant Algorithms for an Elliptic Curve Cryptosystem
Abstract— Side channel attacks such as Simple Power Analysis(SPA) attacks provide a new challenge for securing algorithms from an attacker. Algorithms for elliptic curve point sc...
Andrew Byrne, Nicolas Meloni, Arnaud Tisserand, Em...
AI
1999
Springer
15 years 5 months ago
Towards a Characterisation of the Behaviour of Stochastic Local Search Algorithms for SAT
Stochastic local search (SLS) algorithms have been successfully applied to hard combinatorial problems from different domains. Due to their inherent randomness, the run-time behav...
Holger H. Hoos, Thomas Stützle
ML
2006
ACM
142views Machine Learning» more  ML 2006»
15 years 6 months ago
The max-min hill-climbing Bayesian network structure learning algorithm
We present a new algorithm for Bayesian network structure learning, called Max-Min Hill-Climbing (MMHC). The algorithm combines ideas from local learning, constraint-based, and sea...
Ioannis Tsamardinos, Laura E. Brown, Constantin F....
CEC
2007
IEEE
16 years 15 days ago
On the analysis of average time complexity of estimation of distribution algorithms
— Estimation of Distribution Algorithm (EDA) is a well-known stochastic optimization technique. The average time complexity is a crucial criterion that measures the performance o...
Tianshi Chen, Ke Tang, Guoliang Chen, Xin Yao
GECCO
2007
Springer
345views Optimization» more  GECCO 2007»
16 years 10 days ago
A novel approach to automatic music transcription using electronic synthesis and genetic algorithms
This paper presents a novel approach to the problem of automatic music transcription using electronic synthesis with genetic algorithms. Although the problem is well known and diï...
Gustavo Reis, Francisco Fernández de Vega