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TKDE
2012
270views Formal Methods» more  TKDE 2012»
11 years 10 months ago
Low-Rank Kernel Matrix Factorization for Large-Scale Evolutionary Clustering
—Traditional clustering techniques are inapplicable to problems where the relationships between data points evolve over time. Not only is it important for the clustering algorith...
Lijun Wang, Manjeet Rege, Ming Dong, Yongsheng Din...
TOOLS
2000
IEEE
14 years 8 days ago
Algorithmic Analysis of the Impacts of Changes to Object-Oriented Software
The research presented here addresses the problem of change impact analysis CIA for object-oriented software. A major problem for developers in an evolutionary environment is th...
Michelle Lee, A. Jefferson Offutt, Roger T. Alexan...
ICDM
2006
IEEE
118views Data Mining» more  ICDM 2006»
14 years 1 months ago
GCA: A Coclustering Algorithm for Thalamo-Cortico-Thalamic Connectivity Analysis
The reciprocal connectivity between the cerebral cortex and the thalamus in a human brain is involved in consciousness and related to various brain disorders, thus, in-vivo analys...
Cui Lin, Shiyong Lu, Xuwei Liang, Jing Hua
CEC
2007
IEEE
13 years 12 months ago
Evolution of classification rules for comprehensible knowledge discovery
This article, which lies within the data mining framework, proposes a method to build classifiers based on the evolution of rules. The method, named REC (Rule Evolution for Classif...
Emiliano Carreno, Guillermo Leguizamón, Nea...
GECCO
2010
Springer
244views Optimization» more  GECCO 2010»
13 years 8 months ago
Implicit fitness and heterogeneous preferences in the genetic algorithm
This paper takes an economic approach to derive an evolutionary learning model based entirely on the endogenous employment of genetic operators in the service of self-interested a...
Justin T. H. Smith