Validation Sets, Genetic Programming and Generalisation
作者： Jeannie Fitzgerald , Conor Ryan
DOI: 10.1007/978-1-4471-2318-7_6
关键词:
摘要: This paper investigates a new application of validation set when using three data methodology with Genetic Programming (GP). Our system uses Validation Pressure combined Elitism to influence fitness evaluation and population structure the aim improving system’s ability evolve individuals an enhanced capacity for generalisation. strategy facilitates use reduce over-fitting while mitigating loss training associated traditional methods employing set.
springer.com
sci-hub.st 参考文章(31)
Marc Parizeau, Christian Gagné, Open BEAGLE: a new C++ Evolutionary Computation framework genetic and evolutionary computation conference. pp. 888- 888 ,(2002)
Dan Costelloe, Conor Ryan, On Improving Generalisation in Genetic Programming european conference on genetic programming. pp. 61- 72 ,(2009) , 10.1007/978-3-642-01181-8_6
Liviu Panait, Sean Luke, Lexicographic parsimony pressure genetic and evolutionary computation conference. pp. 829- 836 ,(2002)
John R. Koza, Genetic programming: a paradigm for genetically breeding populations of computer programs to solve problems Stanford University. ,(1990)
Julian F. Miller, Peter Thomson, Aspects of Digital Evolution: Geometry and Learning international conference on evolvable systems. pp. 25- 35 ,(1998) , 10.1007/BFB0057604
T. Loveard, V. Ciesielski, Representing classification problems in genetic programming congress on evolutionary computation. ,vol. 2, pp. 1070- 1077 ,(2001) , 10.1109/CEC.2001.934310
Hajira Jabeen, Abdul Rauf Baig, A Framework for Optimization of Genetic Programming Evolved Classifier Expressions Using Particle Swarm Optimization Lecture Notes in Computer Science. ,vol. 6076, pp. 56- 63 ,(2010) , 10.1007/978-3-642-13769-3_7
R. Muhammad Atif Azad, Conor Ryan, Abstract functions and lifetime learning in genetic programming for symbolic regression genetic and evolutionary computation conference. pp. 893- 900 ,(2010) , 10.1145/1830483.1830645
Riccardo Poli, Nicholas Freitag McPhee, Leonardo Vanneschi, Elitism reduces bloat in genetic programming Proceedings of the 10th annual conference on Genetic and evolutionary computation - GECCO '08. pp. 1343- 1344 ,(2008) , 10.1145/1389095.1389355
Kemal Polat, Salih Güneş, Artificial immune recognition system with fuzzy resource allocation mechanism classifier, principal component analysis and FFT method based new hybrid automated identification system for classification of EEG signals Expert Systems With Applications. ,vol. 34, pp. 2039- 2048 ,(2008) , 10.1016/J.ESWA.2007.02.009