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» An Application of Boosting to Graph Classification
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GECCO
2006
Springer
180views Optimization» more  GECCO 2006»
13 years 11 months ago
Improving cooperative GP ensemble with clustering and pruning for pattern classification
A boosting algorithm based on cellular genetic programming to build an ensemble of predictors is proposed. The method evolves a population of trees for a fixed number of rounds an...
Gianluigi Folino, Clara Pizzuti, Giandomenico Spez...
ISSS
2002
IEEE
120views Hardware» more  ISSS 2002»
14 years 12 days ago
Virtual Synchronization for Fast Distributed Cosimulation of Dataflow Task Graphs
Fast distributed cosimulation is a challenging problem for the embedded system design. The main theme of this paper is to increase simulation speed by reducing the frequency of in...
Soonhoi Ha, Sungchan Kim, Chan-Eun Rhee, Hyunguk J...
BIBM
2009
IEEE
206views Bioinformatics» more  BIBM 2009»
14 years 2 months ago
Application of Kernel Functions for Accurate Similarity Search in Large Chemical Databases
Background: Similaritysearch in chemical structure databases is an important problem with many applications in chemical genomics, drug design, and efficient chemical probe screeni...
Xiaohong Wang, Jun Huan, Aaron M. Smalter, Gerald ...
ML
2010
ACM
185views Machine Learning» more  ML 2010»
13 years 2 months ago
Learning to rank on graphs
Graph representations of data are increasingly common. Such representations arise in a variety of applications, including computational biology, social network analysis, web applic...
Shivani Agarwal
GRAPHICSINTERFACE
2009
13 years 5 months ago
Structural differences between two graphs through hierarchies
This paper presents a technique for visualizing the differences between two graphs. The technique assumes that a unique labeling of the nodes for each graph is available, where if...
Daniel Archambault