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PAMI
2011
14 years 6 months ago
Greedy Learning of Binary Latent Trees
—Inferring latent structures from observations helps to model and possibly also understand underlying data generating processes. A rich class of latent structures are the latent ...
Stefan Harmeling, Christopher K. I. Williams
103
Voted
KDD
2008
ACM
174views Data Mining» more  KDD 2008»
16 years 7 days ago
Automatic identification of quasi-experimental designs for discovering causal knowledge
Researchers in the social and behavioral sciences routinely rely on quasi-experimental designs to discover knowledge from large databases. Quasi-experimental designs (QEDs) exploi...
David D. Jensen, Andrew S. Fast, Brian J. Taylor, ...
VLDB
2005
ACM
125views Database» more  VLDB 2005»
16 years 2 days ago
Sync your data: update propagation for heterogeneous protein databases
The traditional model of bench (wet) chemistry in many life sciences domain is today actively complimented by computer-based discoveries utilizing the growing number of online data...
Kajal T. Claypool, Elke A. Rundensteiner
HICSS
2003
IEEE
144views Biometrics» more  HICSS 2003»
15 years 5 months ago
Democracy Functions of Information Technology
Information Technology, IT, may play an important part in any community as a supporting tool in the democratic process. The conditions for that to happen are primarily a genuine w...
Gunnar Lidén, Anders Avdic
PLDI
2003
ACM
15 years 5 months ago
A practical flow-sensitive and context-sensitive C and C++ memory leak detector
This paper presents a static analysis tool that can automatically find memory leaks and deletions of dangling pointers in large C and C++ applications. We have developed a type s...
David L. Heine, Monica S. Lam