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» Interval Data Classification under Partial Information: A Ch...
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PAKDD
2009
ACM
89views Data Mining» more  PAKDD 2009»
13 years 9 months ago
Interval Data Classification under Partial Information: A Chance-Constraint Approach
Sahely Bhadra, J. Saketha Nath, Aharon Ben-Tal, Ch...
PADS
2003
ACM
13 years 10 months ago
Parallel Network Simulation under Distributed Genesis
We describe two major developments in the General Network Simulation Integration System (Genesis): the support for BGP protocol in large network simulations and distribution of th...
Boleslaw K. Szymanski, Yu Liu, Rashim Gupta
FUZZIEEE
2007
IEEE
13 years 11 months ago
Decoding Trace Peak Behaviour - A Neuro-Fuzzy Approach
— DNA sequence basecalling is commonly regarded as a solved problem, despite significant error rates being reflected in inaccuracies in databases and genome annotations. This has...
David Thornley, Stavros Petridis
KDD
2008
ACM
259views Data Mining» more  KDD 2008»
14 years 5 months ago
Using ghost edges for classification in sparsely labeled networks
We address the problem of classification in partially labeled networks (a.k.a. within-network classification) where observed class labels are sparse. Techniques for statistical re...
Brian Gallagher, Hanghang Tong, Tina Eliassi-Rad, ...
SIAMSC
2008
131views more  SIAMSC 2008»
13 years 4 months ago
Gramian-Based Model Reduction for Data-Sparse Systems
Model order reduction (MOR) is common in simulation, control and optimization of complex dynamical systems arising in modeling of physical processes and in the spatial discretizati...
Ulrike Baur, Peter Benner