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BMCBI
2006
14 years 9 months ago
2006
Background: The learning of global genetic regulatory networks from expression data is a severely under-constrained problem that is aided by reducing the dimensionality of the sea...
ECML
2006
Springer
15 years 1 months ago
2006
Springer
Abstract. We propose a machine learning approach to action prediction in oneshot games. In contrast to the huge literature on learning in games where an agent's model is deduc...
76
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ICANN
2010
Springer
14 years 10 months ago
2010
Springer
We propose a model of the hippocampus aimed at learning the timed association between subsequent sensory events. The properties of the neural network allow it to learn and predict ...
84
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JMLR
2010
14 years 4 months ago
2010
Causal learning methods are often evaluated in terms of their ability to discover a true underlying directed acyclic graph (DAG) structure. However, in general the true structure ...
ICAIL
2003
ACM
15 years 2 months ago
2003
ACM
In this paper, we introduce IBP, an algorithm that combines g with an abstract domain model and case-based reasoning techniques to predict the outcome of case-based legal argument...