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ENGL
2007
89views more  ENGL 2007»
14 years 9 months ago
Similarity-based Heterogeneous Neural Networks
This research introduces a general class of functions serving as generalized neuron models to be used in artificial neural networks. They are cast in the common framework of comp...
Lluís A. Belanche Muñoz, Julio Jose ...
BMCBI
2010
97views more  BMCBI 2010»
14 years 9 months ago
Biomarker discovery in heterogeneous tissue samples -taking the in-silico deconfounding approach
Background: For heterogeneous tissues, such as blood, measurements of gene expression are confounded by relative proportions of cell types involved. Conclusions have to rely on es...
Dirk Repsilber, Sabine Kern, Anna Telaar, Gerhard ...
GPCE
2007
Springer
15 years 3 months ago
A type-centric framework for specifying heterogeneous, large-scale, component-oriented, architectures
Maintaining integrity, consistency, and enforcing conformance in architectures of large-scale systems requires specification and enforcement of many different forms of structural...
Georg Jung, John Hatcliff
ASUNAM
2011
IEEE
13 years 9 months ago
Co-author Relationship Prediction in Heterogeneous Bibliographic Networks
—The problem of predicting links or interactions between objects in a network, is an important task in network analysis. Along this line, link prediction between co-authors in a ...
Yizhou Sun, Rick Barber, Manish Gupta, Charu C. Ag...
AAAI
2007
14 years 12 months ago
Equilibria in Heterogeneous Nonmonotonic Multi-Context Systems
We propose a general framework for multi-context reasoning which allows us to combine arbitrary monotonic and nonmonotonic logics. Nonmonotonic bridge rules are used to specify th...
Gerhard Brewka, Thomas Eiter