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» Learning Rules and Their Exceptions
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IJON
2002
74views more  IJON 2002»
14 years 9 months ago
Optimal spontaneous activity in neural network modeling
We consider the origin of the high-dimensional input space as a variable which can be optimized before or during neuronal learning. This set of variables acts as a translation on ...
Daniel Remondini, Nathan Intrator, Gastone C. Cast...
ICGI
1994
Springer
15 years 1 months ago
Computer Assisted Grammar Construction
: This paper proposes a new inference approach for Chinese probabilistic context-free grammar, which implements the EM algorithm based on the bracket matching schemes. By utilizing...
S. J. Young, H.-H. Shih
RSCTC
1993
Springer
161views Fuzzy Logic» more  RSCTC 1993»
15 years 1 months ago
Quantifying Uncertainty of Knowledge Discovered From Databases
This paper focuses on the application of rough set constructs to inductive learning from a database. A design guideline is suggested, which provides users the option to choose app...
Yang Xiang, S. K. Michael Wong, Nick Cercone
MATES
2007
Springer
15 years 3 months ago
Using DESs for Temporal Diagnosis of Multi-agent Plan Execution
The most common reason for plan repair are the violation of a plan’s temporal constraints. Air Traffic Control is an example of an area in which violations of the plan’s tempo...
Femke de Jonge, Nico Roos, Huib Aldewereld
ICDM
2009
IEEE
124views Data Mining» more  ICDM 2009»
15 years 4 months ago
Rule Ensembles for Multi-target Regression
—Methods for learning decision rules are being successfully applied to many problem domains, especially where understanding and interpretation of the learned model is necessary. ...
Timo Aho, Bernard Zenko, Saso Dzeroski