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» Two Graph Algorithms On an Associative Computing Model
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DIS
2005
Springer
15 years 10 months ago
Practical Algorithms for Pattern Based Linear Regression
We consider the problem of discovering the optimal pattern from a set of strings and associated numeric attribute values. The goodness of a pattern is measured by the correlation b...
Hideo Bannai, Kohei Hatano, Shunsuke Inenaga, Masa...
ICPR
2008
IEEE
15 years 11 months ago
A clustering algorithm combine the FCM algorithm with supervised learning normal mixture model
In this paper we propose a new clustering algorithm which combines the FCM clustering algorithm with the supervised learning normal mixture model; we call the algorithm as the FCM...
Wei Wang, Chunheng Wang, Xia Cui, Ai Wang
164
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SPE
2008
91views more  SPE 2008»
15 years 4 months ago
A multiple layer model to compare RNA secondary structures
composed of various graphs linked together by relations of abstraction/refinement. The new structure is useful for representing information that can be described at t levels of abs...
Julien Allali, Marie-France Sagot
PDP
2006
IEEE
15 years 11 months ago
An Experimental Validation of the PRO Model for Parallel and Distributed Computation
— The Parallel Resource-Optimal (PRO) computation model was introduced by Gebremedhin et al. [2002] as a framework for the design and analysis of efficient parallel algorithms. ...
Mohamed Essaïdi, Jens Gustedt
WDAG
2009
Springer
94views Algorithms» more  WDAG 2009»
15 years 9 months ago
Local Computation of Nearly Additive Spanners
Abstract. An (α, β)-spanner of a graph G is a subgraph H that approximates distances in G within a multiplicative factor α and an additive error β, ensuring that for any two no...
Bilel Derbel, Cyril Gavoille, David Peleg, Laurent...