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GECCO
2004
Springer
15 years 12 months ago
Improving Generalisation Performance Through Multiobjective Parsimony Enforcement
This paper describes POPE-GP, a system that makes use of the NSGA-II multiobjective evolutionary algorithm as an alternative, parameter-free technique for eliminating program bloat...
Yaniv Bernstein, Xiaodong Li, Victor Ciesielski, A...
CIDM
2009
IEEE
15 years 10 months ago
Empirical comparison of graph classification algorithms
The graph classification problem is learning to classify separate, individual graphs in a graph database into two or more categories. A number of algorithms have been introduced fo...
Nikhil S. Ketkar, Lawrence B. Holder, Diane J. Coo...
KDD
2000
ACM
129views Data Mining» more  KDD 2000»
15 years 10 months ago
Evolutionary algorithms in data mining: multi-objective performance modeling for direct marketing
Predictive models in direct marketing seek to identify individuals most likely to respond to promotional solicitations or other intervention programs. While standard modeling appr...
Siddhartha Bhattacharyya
DATESO
2007
107views Database» more  DATESO 2007»
15 years 8 months ago
Updating Typed XML Documents Using a Functional Data Model
We address a problem of updating XML documents having their XML schema described by a Document Type Definition (DTD) without breaking their validity. We present a way how to expre...
Pavel Loupal
BMCBI
2007
142views more  BMCBI 2007»
15 years 6 months ago
Improving model construction of profile HMMs for remote homology detection through structural alignment
Background: Remote homology detection is a challenging problem in Bioinformatics. Arguably, profile Hidden Markov Models (pHMMs) are one of the most successful approaches in addre...
Juliana S. Bernardes, Alberto M. R. Dávila,...