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GECCO
2004
Springer
109views Optimization» more  GECCO 2004»
14 years 2 months ago
Development of a Genetic Algorithm for Optimization of Nanoalloys
A genetic algorithm has been developed in order to find the global minimum of platinum-palladium nanoalloy clusters. The effect of biasing the initial population and predating sp...
Lesley D. Lloyd, Roy L. Johnston, Said Salhi
KDD
2004
ACM
132views Data Mining» more  KDD 2004»
14 years 9 months ago
A probabilistic framework for semi-supervised clustering
Unsupervised clustering can be significantly improved using supervision in the form of pairwise constraints, i.e., pairs of instances labeled as belonging to same or different clu...
Sugato Basu, Mikhail Bilenko, Raymond J. Mooney
BIBE
2004
IEEE
107views Bioinformatics» more  BIBE 2004»
14 years 17 days ago
Enhanced pClustering and Its Applications to Gene Expression Data
Clustering has been one of the most popular methods to discover useful biological insights from DNA microarray. An interesting paradigm is simultaneous clustering of both genes an...
Sungroh Yoon, Christine Nardini, Luca Benini, Giov...
BIOINFORMATICS
2004
99views more  BIOINFORMATICS 2004»
13 years 8 months ago
EST clustering error evaluation and correction
Motivation: The gene expression intensity information conveyed by (EST) Expressed Sequence Tag data can be used to infer important cDNA library properties, such as gene number and...
Ji-Ping Z. Wang, Bruce G. Lindsay 0002, James Leeb...
ICWN
2004
13 years 10 months ago
Demand-Driven Clustering in MANETs
Abstract-- Many clustering protocols for mobile ad hoc networks (MANETs) have been proposed in the literature. With only one exception so far [1], all these protocols are proactive...
Curt Cramer, Oliver Stanze, Kilian Weniger, Martin...