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» Learning to generalize for complex selection tasks
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92
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GPEM
2000
121views more  GPEM 2000»
15 years 9 days ago
Bayesian Methods for Efficient Genetic Programming
ct. A Bayesian framework for genetic programming GP is presented. This is motivated by the observation that genetic programming iteratively searches populations of fitter programs ...
Byoung-Tak Zhang
106
Voted
OOPSLA
2009
Springer
15 years 7 months ago
Towards automation of iteration planning
Iterations are time-boxed periods with an intended outcome that is often a set of implemented requirements. Iterations are part of most common software development lifecycle model...
Jonas Helming, Maximilian Koegel, Zardosht Hodaie
103
Voted
ACL
1997
15 years 1 months ago
Co-evolution of Language and of the Language Acquisition Device
A new account of parameter setting during grammatical acquisition is presented in terms of Generalized Categorial Grammar embedded in a default inheritance hierarchy, providing a ...
Ted Briscoe
KDD
2006
ACM
179views Data Mining» more  KDD 2006»
16 years 27 days ago
Extracting key-substring-group features for text classification
In many text classification applications, it is appealing to take every document as a string of characters rather than a bag of words. Previous research studies in this area mostl...
Dell Zhang, Wee Sun Lee
227
Voted
SIGMOD
2009
ACM
175views Database» more  SIGMOD 2009»
16 years 22 days ago
Keyword search on structured and semi-structured data
Empowering users to access databases using simple keywords can relieve the users from the steep learning curve of mastering a structured query language and understanding complex a...
Yi Chen, Wei Wang 0011, Ziyang Liu, Xuemin Lin