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» Learning Rules and Their Exceptions
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IJCAI
2001
14 years 11 months ago
Neural Logic Network Learning using Genetic Programming
Neural Logic Network or Neulonet is a hybrid of neural network expert systems. Its strength lies in its ability to learn and to represent human logic in decision making using comp...
Chew Lim Tan, Henry Wai Kit Chia
CIKM
2005
Springer
15 years 3 months ago
Information retrieval and machine learning for probabilistic schema matching
Schema matching is the problem of finding correspondences (mapping rules, e.g. logical formulae) between heterogeneous schemas e.g. in the data exchange domain, or for distribute...
Henrik Nottelmann, Umberto Straccia
IJON
2006
70views more  IJON 2006»
14 years 9 months ago
A self-organizing map with homeostatic synaptic scaling
Hebbian learning has been a staple of neural-network models for many years. It is well known that the most straight-forward implementations of this popular learning rule lead to u...
Thomas J. Sullivan, Virginia R. de Sa
DAC
2008
ACM
15 years 10 months ago
Parallel programming: can we PLEASE get it right this time?
The computer industry has a problem. As Moore's law marches on, we will be exploiting it to double cores, not frequencies. But all those cores ... 2 to 4 today growing to 8, ...
Tim Mattson, Michael Wrinn
BMCBI
2010
135views more  BMCBI 2010»
14 years 10 months ago
GIGA: a simple, efficient algorithm for gene tree inference in the genomic age
Background: Phylogenetic relationships between genes are not only of theoretical interest: they enable us to learn about human genes through the experimental work on their relativ...
Paul D. Thomas