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MOC
2002
108views more  MOC 2002»
15 years 6 months ago
Newton-like method with modification of the right-hand-side vector
This paper proposes a new Newton-like method which defines new iterates using a linear system with the same coefficient matrix in each iterate, while the correction is performed on...
Natasa Krejic, Zorana Luzanin
CIARP
2010
Springer
15 years 5 months ago
Improving the Dynamic Hierarchical Compact Clustering Algorithm by Using Feature Selection
Abstract. Feature selection has improved the performance of text clustering. In this paper, a local feature selection technique is incorporated in the dynamic hierarchical compact ...
Reynaldo Gil-García, Aurora Pons-Porrata
148
Voted
RECOMB
2002
Springer
16 years 6 months ago
Probabilistic hierarchical clustering for biological data
Biological data, such as gene expression profiles or protein sequences, is often organized in a hierarchy of classes, where the instances assigned to "nearby" classes in...
Eran Segal, Daphne Koller
INFOCOM
2000
IEEE
15 years 10 months ago
Layered Multicast Recovery
We study the problem of localizing repair packets when packets are lost. When repair packets are multicasted, a highly lossy receiver may swamp the entire multicast “group” wi...
Injong Rhee, Srinath R. Joshi, Minsuk Lee, S. Muth...
GECCO
2010
Springer
187views Optimization» more  GECCO 2010»
15 years 10 months ago
Benchmarking the (1, 4)-CMA-ES with mirrored sampling and sequential selection on the noisy BBOB-2010 testbed
The Covariance-Matrix-Adaptation Evolution-Strategy (CMA-ES) is a robust stochastic search algorithm for optimizing functions defined on a continuous search space RD . Recently, ...
Anne Auger, Dimo Brockhoff, Nikolaus Hansen