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» On the Efficient Classification of Data Structures by Neural...
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NIPS
1990
13 years 6 months ago
Bumptrees for Efficient Function, Constraint and Classification Learning
A new class of data structures called "bumptrees" is described. These structures are useful for efficiently implementing a number of neural network related operations. A...
Stephen M. Omohundro
NN
2006
Springer
113views Neural Networks» more  NN 2006»
13 years 5 months ago
Large-scale data exploration with the hierarchically growing hyperbolic SOM
We introduce the Hierarchically Growing Hyperbolic Self-Organizing Map (H2 SOM) featuring two extensions of the HSOM (hyperbolic SOM): (i) a hierarchically growing variant that al...
Jörg Ontrup, Helge Ritter
ICISC
2008
103views Cryptology» more  ICISC 2008»
13 years 6 months ago
Generalized Universal Circuits for Secure Evaluation of Private Functions with Application to Data Classification
Secure Evaluation of Private Functions (PF-SFE) allows two parties to compute a private function which is known by one party only on private data of both. It is known that PF-SFE c...
Ahmad-Reza Sadeghi, Thomas Schneider 0003
IJON
2008
109views more  IJON 2008»
13 years 5 months ago
Unsupervised learning neural network with convex constraint: Structure and algorithm
This paper proposed a kind of unsupervised learning neural network model, which has special structure and can realize an evaluation and classification of many groups by the compres...
Hengqing Tong, Tianzhen Liu, Qiaoling Tong
ICANN
2010
Springer
13 years 5 months ago
Computational Properties of Probabilistic Neural Networks
We discuss the problem of overfitting of probabilistic neural networks in the framework of statistical pattern recognition. The probabilistic approach to neural networks provides a...
Jiri Grim, Jan Hora