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» Network Structuring and Training Using Rule-Based Knowledge
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KDD
2006
ACM
157views Data Mining» more  KDD 2006»
15 years 10 months ago
Using structure indices for efficient approximation of network properties
Statistics on networks have become vital to the study of relational data drawn from areas such as bibliometrics, fraud detection, bioinformatics, and the Internet. Calculating man...
Matthew J. Rattigan, Marc Maier, David Jensen
ICML
1991
IEEE
15 years 1 months ago
Constructive Induction in Knowledge-Based Neural Networks
Artificial neural networks have proven to be a successful, general method for inductive learning from examples. However, they have not often been viewed in terms of constructive ...
Geoffrey G. Towell, Mark Craven, Jude W. Shavlik
ENGL
2008
98views more  ENGL 2008»
14 years 9 months ago
A New Wavelet Back Propagation Neural Networks for Structural Dynamic Analysis
dynamic analysis of structures for earthquake induced loads is very expensive in terms of the computational burden. In this study, to reduce the computational effort a new neural s...
R. Kamyab Moghadas, S. Gholizadeh
ICCS
1999
Springer
15 years 1 months ago
Conceptual Structures Represented by Conceptual Graphs and Formal Concept Analysis
Conceptual Graphs and Formal Concept Analysis have in common basic concerns: the focus on conceptual structures, the use of diagrams for supporting communication, the orientation b...
Guy W. Mineau, Gerd Stumme, Rudolf Wille
ICPR
2002
IEEE
15 years 10 months ago
Prototype Selection for Finding Efficient Representations of Dissimilarity Data
The nearest neighbor (NN) rule is a simple and intuitive method for solving classification problems. Originally, it uses distances to the complete training set. It performs well, ...
Elzbieta Pekalska, Robert P. W. Duin