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» Unsupervised Problem Decomposition Using Genetic Programming
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COLING
2010
14 years 4 months ago
Fast, Greedy Model Minimization for Unsupervised Tagging
Model minimization has been shown to work well for the task of unsupervised part-of-speech tagging with a dictionary. In (Ravi and Knight, 2009), the authors invoke an integer pro...
Sujith Ravi, Ashish Vaswani, Kevin Knight, David C...
HIS
2007
14 years 11 months ago
Genetic Programming meets Model-Driven Development
Genetic programming is known to provide good solutions for many problems like the evolution of network protocols and distributed algorithms. In such cases it is most likely a hard...
Thomas Weise, Michael Zapf, Mohammad Ullah Khan, K...
AAAI
2007
14 years 12 months ago
Solving a Stochastic Queueing Design and Control Problem with Constraint Programming
A facility with front room and back room operations has the option of hiring specialized or, more expensive, cross-trained workers. Assuming stochastic customer arrival and servic...
Daria Terekhov, J. Christopher Beck, Kenneth N. Br...
EVOW
2003
Springer
15 years 2 months ago
Pixel Statistics and False Alarm Area in Genetic Programming for Object Detection
This paper describes a domain independent approach to the use of genetic programming for object detection problems. Rather than using raw pixels or high level domain specific feat...
Mengjie Zhang, Peter Andreae, Mark Pritchard
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GECCO
2010
Springer
182views Optimization» more  GECCO 2010»
15 years 2 months ago
Model selection in genetic programming
Abstract. We discuss the problem of model selection in Genetic Programming using the framework provided by Statistical Learning Theory, i.e. Vapnik-Chervonenkis theory (VC). We pre...
Cruz E. Borges, César Luis Alonso, Jos&eacu...