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GECCO
2004
Springer
15 years 7 months ago
2004
Springer
In this work, we investigate the ability of a Chunking GA (ChGA) to reduce the size of variable length chromosomes and control bloat. The ChGA consists of a standard genetic algori...
138
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KDD
2006
ACM
16 years 2 months ago
2006
ACM
Calculation of object similarity, for example through a distance function, is a common part of data mining and machine learning algorithms. This calculation is crucial for efficie...
140
Voted
ICA
2010
Springer
15 years 3 months ago
2010
Springer
We study a sparse coding learning algorithm that allows for a simultaneous learning of the data sparseness and the basis functions. The algorithm is derived based on a generative m...
106
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ICCAD
1997
IEEE
15 years 6 months ago
1997
IEEE
An algorithm that remains in use at the core of many partitioning systems is the Kernighan-Lin algorithm and a variant the Fidducia-Matheysses (FM) algorithm. To understand the FM...
139
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APPROX
2009
Springer
15 years 9 months ago
2009
Springer
Submodular-function maximization is a central problem in combinatorial optimization, generalizing many important NP-hard problems including Max Cut in digraphs, graphs and hypergr...