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AI
2011
Springer
14 years 6 months ago
Learning qualitative models from numerical data
Qualitative models are often a useful abstraction of the physical world. Learning qualitative models from numerical data sible way to obtain such an abstraction. We present a new ...
Jure Zabkar, Martin Mozina, Ivan Bratko, Janez Dem...
ESOP
2011
Springer
14 years 3 months ago
Measure Transformer Semantics for Bayesian Machine Learning
Abstract. The Bayesian approach to machine learning amounts to inferring posterior distributions of random variables from a probabilistic model of how the variables are related (th...
Johannes Borgström, Andrew D. Gordon, Michael...
PLDI
2011
ACM
14 years 2 months ago
Evaluating value-graph translation validation for LLVM
Translation validators are static analyzers that attempt to verify that program transformations preserve semantics. Normalizing translation validators do so by trying to match the...
Jean-Baptiste Tristan, Paul Govereau, Greg Morrise...
IHI
2012
370views Healthcare» more  IHI 2012»
13 years 7 months ago
FUSE: a system for data-driven multi-level functional summarization of protein interaction networks
Despite recent progress in high-throughput experimental studies, systems level visualization and analysis of large protein interaction networks (ppi) remains a challenging task, g...
Boon-Siew Seah, Sourav S. Bhowmick, Charles Forbes...
PODC
2005
ACM
15 years 5 months ago
Maximal independent sets in radio networks
We study the distributed complexity of computing a maximal independent set (MIS) in radio networks with completely unknown topology, asynchronous wake-up, and no collision detecti...
Thomas Moscibroda, Roger Wattenhofer