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JSC
2010
100views more  JSC 2010»
14 years 10 months ago
An invariant-based approach to the verification of asynchronous parameterized networks
A uniform verification problem for parameterized systems is to determine whether a temporal property is satisfied for every instance of the system which is composed of an arbitrar...
Igor V. Konnov, Vladimir A. Zakharov
ECML
2004
Springer
15 years 9 months ago
SWITCH: A Novel Approach to Ensemble Learning for Heterogeneous Data
The standard framework of machine learning problems assumes that the available data is independent and identically distributed (i.i.d.). However, in some applications such as image...
Rong Jin, Huan Liu
159
Voted
TNN
2008
105views more  TNN 2008»
15 years 3 months ago
Incremental Learning of Chunk Data for Online Pattern Classification Systems
This paper presents a pattern classification system in which feature extraction and classifier learning are simultaneously carried out not only online but also in one pass where tr...
Seiichi Ozawa, Shaoning Pang, Nikola K. Kasabov
CPM
2004
Springer
145views Combinatorics» more  CPM 2004»
15 years 9 months ago
Computational Problems in Perfect Phylogeny Haplotyping: Xor-Genotypes and Tag SNPs
The perfect phylogeny model for haplotype evolution has been successfully applied to haplotype resolution from genotype data. In this study we explore the application of the perfe...
Tamar Barzuza, Jacques S. Beckmann, Ron Shamir, It...
ICASSP
2011
IEEE
14 years 7 months ago
A kernelized maximal-figure-of-merit learning approach based on subspace distance minimization
We propose a kernelized maximal-figure-of-merit (MFoM) learning approach to efficiently training a nonlinear model using subspace distance minimization. In particular, a fixed,...
Byungki Byun, Chin-Hui Lee