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ICDM
2005
IEEE
116views Data Mining» more  ICDM 2005»
15 years 9 months 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
138
Voted
EGH
2005
Springer
15 years 9 months ago
Optimal automatic multi-pass shader partitioning by dynamic programming
Complex shaders must be partitioned into multiple passes to execute on GPUs with limited hardware resources. Automatic partitioning gives rise to an NP-hard scheduling problem tha...
Alan Heirich
142
Voted
GD
2005
Springer
15 years 9 months ago
A Mixed-Integer Program for Drawing High-Quality Metro Maps
In this paper we investigate the problem of drawing metro maps which is defined as follows. Given a planar graph G of maximum degree 8 with its embedding and vertex locations (e.g...
Martin Nöllenburg, Alexander Wolff
EUROGP
2004
Springer
133views Optimization» more  EUROGP 2004»
15 years 9 months ago
Lymphoma Cancer Classification Using Genetic Programming with SNR Features
Lymphoma cancer classification with DNA microarray data is one of important problems in bioinformatics. Many machine learning techniques have been applied to the problem and produc...
Jin-Hyuk Hong, Sung-Bae Cho
136
Voted
GI
2004
Springer
15 years 9 months ago
Type Safe Programming of XML-based Applications
: There is an emerging amount of software for generating and manipulating XML documents. This paper addresses the problem of guaranteeing the validity of dynamically generated XML ...
Martin Kempa, Volker Linnemann