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» Learning Bayesian Networks from Incomplete Databases
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EDBT
2011
ACM
254views Database» more  EDBT 2011»
13 years 2 months ago
SocialSearch: enhancing entity search with social network matching
This paper introduces the problem of matching people names to their corresponding social network identities such as their Twitter accounts. Existing tools for this purpose build u...
Gae-won You, Seung-won Hwang, Zaiqing Nie, Ji-Rong...
ICB
2009
Springer
140views Biometrics» more  ICB 2009»
14 years 5 months ago
A Discriminant Analysis Method for Face Recognition in Heteroscedastic Distributions
Linear discriminant analysis (LDA) is a popular method in pattern recognition and is equivalent to Bayesian method when the sample distributions of different classes are obey to t...
Zhen Lei, ShengCai Liao, Dong Yi, Rui Qin, Stan Z....
BMCBI
2007
160views more  BMCBI 2007»
13 years 11 months ago
Optimization based automated curation of metabolic reconstructions
Background: Currently, there exists tens of different microbial and eukaryotic metabolic reconstructions (e.g., Escherichia coli, Saccharomyces cerevisiae, Bacillus subtilis) with...
Vinay Satish Kumar, Madhukar S. Dasika, Costas D. ...
VLDB
1995
ACM
181views Database» more  VLDB 1995»
14 years 2 months ago
NeuroRule: A Connectionist Approach to Data Mining
Classification, which involves finding rules that partition a given da.ta set into disjoint groups, is one class of data mining problems. Approaches proposed so far for mining cla...
Hongjun Lu, Rudy Setiono, Huan Liu
PAMI
2002
114views more  PAMI 2002»
13 years 10 months ago
Principal Manifolds and Probabilistic Subspaces for Visual Recognition
We investigate the use of linear and nonlinear principal manifolds for learning low-dimensional representations for visual recognition. Several leading techniques: Principal Compo...
Baback Moghaddam