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ICDM
2005
IEEE
116views Data Mining» more  ICDM 2005»
16 years 4 days ago
Learning Functional Dependency Networks Based on Genetic Programming
Bayesian Network (BN) is a powerful network model, which represents a set of variables in the domain and provides the probabilistic relationships among them. But BN can handle dis...
Wing-Ho Shum, Kwong-Sak Leung, Man Leung Wong
ILP
2004
Springer
15 years 12 months ago
Learning an Approximation to Inductive Logic Programming Clause Evaluation
One challenge faced by many Inductive Logic Programming (ILP) systems is poor scalability to problems with large search spaces and many examples. Randomized search methods such as ...
Frank DiMaio, Jude W. Shavlik
GECCO
2010
Springer
189views Optimization» more  GECCO 2010»
15 years 11 months ago
Knowledge mining with genetic programming methods for variable selection in flavor design
This paper presents a novel approach for knowledge mining from a sparse and repeated measures dataset. Genetic programming based symbolic regression is employed to generate multip...
Katya Vladislavleva, Kalyan Veeramachaneni, Matt B...
SIGMOD
1997
ACM
107views Database» more  SIGMOD 1997»
15 years 10 months ago
Picture Programming Project
Visual Language (VL) system development is getting increasingly sophisticated in part due to the arduous nature of user interface (UI) code development. This typically involves id...
Nita Goyal, Charles Hoch, Ravi Krishnamurthy, Bria...
LCR
2000
Springer
186views System Software» more  LCR 2000»
15 years 10 months ago
Adaptive Parallelism for OpenMP Task Parallel Programs
Abstract. We present a system that allows task parallel OpenMP programs to execute on a network of workstations (NOW) with a variable number of nodes. Such adaptivity, generally ca...
Alex Scherer, Thomas R. Gross, Willy Zwaenepoel