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» Adapting Representation in Genetic Programming
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GPEM
2002
104views more  GPEM 2002»
13 years 7 months ago
Genetic Programming-based Construction of Features for Machine Learning and Knowledge Discovery Tasks
In this paper we use genetic programming for changing the representation of the input data for machine learners. In particular, the topic of interest here is feature construction i...
Krzysztof Krawiec
POPL
2008
ACM
14 years 7 months ago
Systems biology, models, and concurrency
Models will play a central role in the representation, storage, manipulation, and communication of knowledge in systems biology. Models capable of fulfilling such a role will like...
Walter Fontana
IPSN
2010
Springer
14 years 2 months ago
Distributed genetic evolution in WSN
Wireless Sensor Actuator Networks (WSANs) extend wireless sensor networks through actuation capability. Designing robust logic for WSANs however is challenging since nodes can aļ¬...
Philip Valencia, Peter Lindsay, Raja Jurdak
CEC
2010
IEEE
12 years 11 months ago
Revisiting Evolutionary Information Filtering
ā€” Adaptive Information Filtering seeks a solution to the problem of information overload through a tailored representation of the userā€™s interests, called user proļ¬le, which ...
Nikolaos Nanas, Stefanos Kodovas, Manolis Vavalis
PPSN
1994
Springer
13 years 11 months ago
RPL2: A Language and Parallel Framework for Evolutionary Computing
The Reproductive Plan Language 2 (RPL2) is an extensible interpreted language for writing and using evolutionary computing programs. It supports arbitrary genetic representations,...
Patrick D. Surry, Nicholas J. Radcliffe