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» On approximate reasoning with graded rules
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NIPS
2008
13 years 7 months ago
An interior-point stochastic approximation method and an L1-regularized delta rule
The stochastic approximation method is behind the solution to many important, actively-studied problems in machine learning. Despite its farreaching application, there is almost n...
Peter Carbonetto, Mark Schmidt, Nando de Freitas
ILP
1999
Springer
13 years 10 months ago
Approximate ILP Rules by Backpropagation Neural Network: A Result on Thai Character Recognition
This paper presents an application of Inductive Logic Programming (ILP) and Backpropagation Neural Network (BNN) to the problem of Thai character recognition. In such a learning pr...
Boonserm Kijsirikul, Sukree Sinthupinyo
KR
1992
Springer
13 years 9 months ago
Order of Magnitude Reasoning using Logarithms
Converting complex equations into simpler, more tractable equations usually involves approximation. Approximation is usually done by identifying and removing insignificant terms, ...
P. Pandurang Nayak
DLOG
2010
13 years 3 months ago
Towards Soundness Preserving Approximation for ABox Reasoning of OWL2
ABox Reasoning in large scale description logic (DL) knowledge bases, e.g. ontologies, is important for the success of many semantic-enriched systems. Performance of existing appro...
Yuan Ren, Jeff Z. Pan, Yuting Zhao
ICDE
1998
IEEE
121views Database» more  ICDE 1998»
14 years 7 months ago
Fuzzy Triggers: Incorporating Imprecise Reasoning into Active Databases
Traditional Event-Condition-Action triggers (active database rules) include a Boolean predicate as a trigger condition. We propose fuzzy triggers whereby fuzzy inference is utiliz...
Antoni Wolski, Tarik Bouaziz