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» Efficient Discovery of Confounders in Large Data Sets
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BALT
2006
14 years 19 days ago
Introducing Softness into Inductive Queries on String Databases
In many application domains (e.g., WWW mining, molecular biology), large string datasets are available and yet under-exploited. The inductive database framework assumes that both s...
Ieva Mitasiunaite, Jean-François Boulicaut
GECCO
2000
Springer
122views Optimization» more  GECCO 2000»
14 years 15 days ago
Genetic Programming with Statically Scoped Local Variables
This paper presents an extension to genetic programming to allow the evolution of programs containing local variables with static scope which obey the invariant that all variables...
Evan Kirshenbaum
BMCBI
2010
121views more  BMCBI 2010»
13 years 9 months ago
Knowledge-based annotation of small molecule binding sites in proteins
Background: The study of protein-small molecule interactions is vital for understanding protein function and for practical applications in drug discovery. To benefit from the rapi...
Ratna R. Thangudu, Manoj Tyagi, Benjamin A. Shoema...
COR
2008
164views more  COR 2008»
13 years 9 months ago
Observations in using parallel and sequential evolutionary algorithms for automatic software testing
In this paper we analyze the application of parallel and sequential evolutionary algorithms (EAs) to the automatic test data generation problem. The problem consists of automatica...
Enrique Alba, J. Francisco Chicano
DKE
2002
107views more  DKE 2002»
13 years 8 months ago
View selection using randomized search
An important issue in data warehouse development is the selection of a set of views to materialize in order to accelerate OLAP queries, given certain space and maintenance time co...
Panos Kalnis, Nikos Mamoulis, Dimitris Papadias