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EVOW
1994
Springer
13 years 9 months ago
Genetic Approaches to Learning Recursive Relations
The genetic programming (GP) paradigm is a new approach to inductively forming programs that describe a particular problem. The use of natural selection based on a fitness ]unction...
Peter A. Whigham, Robert I. McKay
EUROGP
2007
Springer
164views Optimization» more  EUROGP 2007»
13 years 11 months ago
The Induction of Finite Transducers Using Genetic Programming
This paper reports on the results of a preliminary study conducted to evaluate genetic programming (GP) as a means of evolving finite state transducers. A genetic programming syste...
Amashini Naidoo, Nelishia Pillay
EUROGP
2008
Springer
135views Optimization» more  EUROGP 2008»
13 years 7 months ago
Using Genetic Programming for Turing Machine Induction
Abstract. Turing machines are playing an increasingly significant role in Computer Science domains such as bioinformatics. Instead of directly formulating a solution to a problem, ...
Amashini Naidoo, Nelishia Pillay
GECCO
2003
Springer
156views Optimization» more  GECCO 2003»
13 years 10 months ago
Facts and Fallacies in Using Genetic Algorithms for Learning Clauses in First-Order Logic
Over the last few years, a few approaches have been proposed aiming to combine genetic and evolutionary computation (GECCO) with inductive logic programming (ILP). The underlying r...
Flaviu Adrian Marginean
ICONIP
1998
13 years 6 months ago
Inducing Relational Concepts with Neural Networks via the LINUS System
This paper presents a method to induce relational concepts with neural networks using the inductive logic programming system LINUS. Some first-order inductive learning tasks taken...
Rodrigo Basilio, Gerson Zaverucha, Artur S. d'Avil...