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ICASSP
2009
IEEE
14 years 3 days ago
Principal component analysis in decomposable Gaussian graphical models
We consider principal component analysis (PCA) in decomposable Gaussian graphical models. We exploit the prior information in these models in order to distribute its computation. ...
Ami Wiesel, Alfred O. Hero III
FQAS
2000
Springer
80views Database» more  FQAS 2000»
13 years 12 months ago
A Knowledge Scout for Discovering Medical Patterns: Methodology and System SCAMP
Knowledge scouts are software agents that autonomously synthesize knowledge of interest to a given user (target knowledge) by applying inductive database operators to a local or di...
Kenneth A. Kaufman, Ryszard S. Michalski
POS
2000
Springer
13 years 11 months ago
The Memory Behavior of the WWW, or The WWW Considered as a Persistent Store
Abstract. This paper presents the performance evaluation of five memory allocation strategies for the PerDiS Persistent Distributed Object store in the context of allocating two di...
Nicolas Richer, Marc Shapiro
EURODAC
1995
IEEE
137views VHDL» more  EURODAC 1995»
13 years 11 months ago
A formal non-heuristic ATPG approach
This paper presents a formal approach to test combinational circuits. For the sake of explanation we describe the basic algorithms with the help of the stuck–at fault model. Ple...
Manfred Henftling, Hannes C. Wittmann, Kurt Antrei...
AAAI
2008
13 years 10 months ago
Instance-level Semisupervised Multiple Instance Learning
Multiple instance learning (MIL) is a branch of machine learning that attempts to learn information from bags of instances. Many real-world applications such as localized content-...
Yangqing Jia, Changshui Zhang