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104
Voted
GECCO
2007
Springer
15 years 10 months ago
2007
Springer
Crossover in Genetic Programming is mostly a destructive operator, generally producing children worse than the parents and occasionally producing those who are better. A recently ...
116
Voted
GECCO
2007
Springer
15 years 10 months ago
2007
Springer
We consider multitask learning of visual concepts within genetic programming (GP) framework. The proposed method evolves a population of GP individuals, with each of them composed...
118
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GECCO
2007
Springer
15 years 10 months ago
2007
Springer
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 diļ...
128
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GECCO
2007
Springer
15 years 10 months ago
2007
Springer
Artiļ¬cial Development Systems have been introduced as a technique aimed at increasing the scalability of evolutionary algorithms. Most commonly the development model is part of ...
120
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GECCO
2007
Springer
15 years 10 months ago
2007
Springer
Markov Networks (also known as Markov Random Fields) have been proposed as a new approach to probabilistic modelling in Estimation of Distribution Algorithms (EDAs). An EDA employ...