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BMCBI
2008
130views more  BMCBI 2008»
13 years 7 months ago
Function approximation approach to the inference of reduced NGnet models of genetic networks
Background: The inference of a genetic network is a problem in which mutual interactions among genes are deduced using time-series of gene expression patterns. While a number of m...
Shuhei Kimura, Katsuki Sonoda, Soichiro Yamane, Hi...
PLDI
2012
ACM
11 years 10 months ago
Dynamic synthesis for relaxed memory models
Modern architectures implement relaxed memory models which may reorder memory operations or execute them non-atomically. Special instructions called memory fences are provided, al...
Feng Liu, Nayden Nedev, Nedyalko Prisadnikov, Mart...
KDD
2012
ACM
179views Data Mining» more  KDD 2012»
11 years 10 months ago
Transparent user models for personalization
Personalization is a ubiquitous phenomenon in our daily online experience. While such technology is critical for helping us combat the overload of information we face, in many cas...
Khalid El-Arini, Ulrich Paquet, Ralf Herbrich, Jur...
ATAL
2008
Springer
13 years 9 months ago
A statistical relational model for trust learning
We address the learning of trust based on past observations and context information. We argue that from the truster's point of view trust is best expressed as one of several ...
Achim Rettinger, Matthias Nickles, Volker Tresp
CVPR
1997
IEEE
13 years 12 months ago
Learning bilinear models for two-factor problems in vision
In many vision problems, we want to infer two (or more) hidden factors which interact to produce our observations. We may want to disentangle illuminant and object colors in color...
William T. Freeman, Joshua B. Tenenbaum