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GECCO
2005
Springer
136views Optimization» more  GECCO 2005»
15 years 3 months ago
Preventing overfitting in GP with canary functions
Overfitting is a fundamental problem of most machine learning techniques, including genetic programming (GP). Canary functions have been introduced in the literature as a concept ...
Nate Foreman, Matthew P. Evett
GECCO
2005
Springer
140views Optimization» more  GECCO 2005»
15 years 3 months ago
Stock prediction based on financial correlation
In this paper, we propose a neuro-genetic stock prediction system based on financial correlation between companies. A number of input variables are produced from the relatively h...
Yung-Keun Kwon, Sung-Soon Choi, Byung Ro Moon
CIBCB
2007
IEEE
15 years 1 months ago
Hybrid Architecture for Accelerating DNA Codeword Library Searching
-- A large and reliable DNA codeword library is the key to the success of DNA based computing. Searching for the set of reliable DNA codewords is an NP-hard problem, which can take...
Qinru Qiu, Daniel J. Burns, Qing Wu, Prakash Mukre
WSC
2007
15 years 1 days ago
Subset selection and optimization for selecting binomial systems applied to supersaturated design generation
The problem of finding the binomial population with the highest success probability is considered when the number of binomial populations is large. A new rigorous indifference zo...
Ning Zheng, Theodore Allen
APPINF
2003
14 years 11 months ago
The Force Model: Concept, Behavior, Interpretation
Most experiments in research on autonomous agents and mobile robots are performed either in simulation or on robots with static physical properties; evolvable hardware is hardly e...
Ralf Salomon