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GECCO
2005
Springer
136views Optimization» more  GECCO 2005»
16 years 14 hour 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
145views Optimization» more  GECCO 2005»
16 years 14 hour ago
Three dimensional evolutionary aerodynamic design optimization with CMA-ES
In this paper, we present the application of evolutionary optimization methods to a demanding, industrially relevant engineering domain, the three-dimensional optimization of gas ...
Martina Hasenjäger, Bernhard Sendhoff, Toyota...
ICTAC
2005
Springer
16 years 2 hour ago
Covarieties of Coalgebras: Comonads and Coequations
Coalgebras provide effective models of data structures and state-transition systems. A virtual covariety is a class of coalgebras closed under coproducts, images of coalgebraic mo...
Ranald Clouston, Robert Goldblatt
ISSAC
2005
Springer
107views Mathematics» more  ISSAC 2005»
15 years 12 months ago
Symmetric and semisymmetric graphs construction using G-graphs
Symmetric and semisymmetric graphs are used in many scientific domains, especially parallel computation and interconnection networks. The industry and the research world make a h...
Alain Bretto, Luc Gillibert, Bernard Laget
MDM
2005
Springer
117views Communications» more  MDM 2005»
15 years 12 months ago
Tuning query performance in mobile sensor databases
In this paper we propose a query-driven approach for tuning the time/energy trade-off in sensor networks with mobile sensors. The tuning factors include re-positioning of mobile s...
Vladimir Zadorozhny, Divyasheel Sharma, Prashant K...