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» Using Genetic Programming for Turing Machine Induction
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CPHYSICS
2006
127views more  CPHYSICS 2006»
14 years 9 months ago
GenAnneal: Genetically modified Simulated Annealing
A modification of the standard Simulated Annealing (SA) algorithm is presented for finding the global minimum of a continuous multidimensional, multimodal function. We report resu...
Ioannis G. Tsoulos, Isaac E. Lagaris
114
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GECCO
2003
Springer
124views Optimization» more  GECCO 2003»
15 years 2 months ago
Study Diploid System by a Hamiltonian Cycle Problem Algorithm
Complex representation in Genetic Algorithms and pattern in real problems limits the effect of crossover to construct better pattern from sporadic building blocks. Instead of intro...
Dong Xianghui, Ruwei Dai
ICTAI
2002
IEEE
15 years 2 months ago
Machine Learning for Software Engineering: Case Studies in Software Reuse
There are many machine learning algorithms currently available. In the 21st century, the problem no longer lies in writing the learner, but in choosing which learners to run on a ...
Justin S. Di Stefano, Tim Menzies
ESANN
2004
14 years 11 months ago
Neural networks for data mining: constrains and open problems
When we talk about using neural networks for data mining we have in mind the original data mining scope and challenge. How did neural networks meet this challenge? Can we run neura...
Razvan Andonie, Boris Kovalerchuk
NLP
2000
15 years 1 months ago
Enhancing Preference-Based Anaphora Resolution with Genetic Algorithms
Abstract. The paper argues that a promising way to improve the success rate of preference-based anaphora resolution algorithms is the use of machine learning. The paper outlines MA...
Constantin Orasan, Richard Evans, Ruslan Mitkov