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ML
2000
ACM
244views Machine Learning» more  ML 2000»
13 years 7 months ago
Learnable Evolution Model: Evolutionary Processes Guided by Machine Learning
A new class of evolutionary computation processes is presented, called Learnable Evolution Model or LEM. In contrast to Darwinian-type evolution that relies on mutation, recombinat...
Ryszard S. Michalski
SYNASC
2006
IEEE
95views Algorithms» more  SYNASC 2006»
14 years 1 months ago
Evolutionary Support Vector Regression Machines
Evolutionary support vector machines (ESVMs) are a novel technique that assimilates the learning engine of the state-of-the-art support vector machines (SVMs) but evolves the coef...
Ruxandra Stoean, Dumitru Dumitrescu, Mike Preuss, ...
ICASSP
2010
IEEE
13 years 7 months ago
Sparse Bayesian step-filtering for high-throughput analysis of molecular machine dynamics
Nature has evolved many molecular machines such as kinesin, myosin, and the rotary flagellar motor powered by an ion current from the mitochondria. Direct observation of the step-...
Max A. Little, Nick S. Jones
DAGSTUHL
2006
13 years 9 months ago
An Operator-based Approach to Incremental Development of Conform Protocol State Machines
An incremental development framework which supports a conform construction of Protocol State Machines (PSMs) is presented. We capture design concepts and strategies of PSM constru...
Arnaud Lanoix, Dieu Donné Okalas Ossami, Je...
EVOW
2004
Springer
14 years 1 months ago
A Scenario-Based Approach to Protocol Design Using Evolutionary Techniques
An evolutionary approach to design communication protocols from scenario-based specifications is presented. It enables to automatically generate finite-state models of protocol ent...
Sérgio G. Araújo, Antônio C. M...