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CIKM
2006
Springer
15 years 1 months ago
Efficiently clustering transactional data with weighted coverage density
In this paper, we propose a fast, memory-efficient, and scalable clustering algorithm for analyzing transactional data. Our approach has three unique features. First, we use the c...
Hua Yan, Keke Chen, Ling Liu
ANLP
1994
155views more  ANLP 1994»
15 years 1 months ago
Guided Sentences Composition for Disabled People
We present the advantages of guided sentences composition for communicating in natural language with computers. We show how guidance can be achieved by means of the partial synthe...
Robert Pasero, Nathalie Richardet, Paul Sabatier
BMCBI
2007
265views more  BMCBI 2007»
14 years 11 months ago
Large scale clustering of protein sequences with FORCE -A layout based heuristic for weighted cluster editing
Background: Detecting groups of functionally related proteins from their amino acid sequence alone has been a long-standing challenge in computational genome research. Several clu...
Tobias Wittkop, Jan Baumbach, Francisco P. Lobo, S...
ENTCS
2006
97views more  ENTCS 2006»
14 years 11 months ago
VyrdMC: Driving Runtime Refinement Checking with Model Checkers
This paper presents VyrdMC, a runtime verification tool we are building for concurrent software components. The correctness criterion checked by VyrdMC is refinement: Each executi...
Tayfun Elmas, Serdar Tasiran
88
Voted
CCE
2004
14 years 11 months ago
Improving convergence of the stochastic decomposition algorithm by using an efficient sampling technique
This work focuses on the basic stochastic decomposition (SD) algorithm of Higle and Sen [J.L. Higle, S. Sen, Stochastic Decomposition, Kluwer Academic Publishers, 1996] for two-st...
José María Ponce-Ortega, Vicente Ric...