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» A general algorithm for data dependence analysis
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GECCO
2007
Springer
194views Optimization» more  GECCO 2007»
15 years 9 months ago
Hybrid coevolutionary algorithms vs. SVM algorithms
As a learning method support vector machine is regarded as one of the best classifiers with a strong mathematical foundation. On the other hand, evolutionary computational techniq...
Rui Li, Bir Bhanu, Krzysztof Krawiec
110
Voted
ALT
2009
Springer
16 years 5 days ago
Approximation Algorithms for Tensor Clustering
Abstract. We present the first (to our knowledge) approximation algorithm for tensor clustering—a powerful generalization to basic 1D clustering. Tensors are increasingly common...
Stefanie Jegelka, Suvrit Sra, Arindam Banerjee
DIALM
2004
ACM
113views Algorithms» more  DIALM 2004»
15 years 8 months ago
Gathering correlated data in sensor networks
In this paper, we consider energy-efficient gathering of correlated data in sensor networks. We focus on single-input coding strategies in order to aggregate correlated data. For ...
Pascal von Rickenbach, Roger Wattenhofer
ISMB
1998
15 years 4 months ago
Sequence Assembly Validation by Multiple Restriction Digest Fragment Coverage Analysis
DNA sequence analysis depends on the accurate assembly of fragment reads for the determination of a consensus sequence. This report examines the possibility of analyzing multiple,...
Eric C. Rouchka, David J. States
93
Voted
ACSD
2005
IEEE
71views Hardware» more  ACSD 2005»
15 years 8 months ago
Maximal Causality Analysis
Perfectly synchronous systems immediately react to the inputs of their environment, which may lead to so-called causality cycles between actions and their trigger conditions. Algo...
Klaus Schneider, Jens Brandt, Tobias Schüle, ...