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ICANN
2010
Springer
13 years 9 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
FLAIRS
2004
13 years 10 months ago
Indirect Encoding Evolutionary Learning Algorithm for the Multilayer Morphological Perceptron
This article describes an indirectly encoded evolutionary learning algorithm to train morphological neural networks. The indirect encoding method is an algorithm in which the trai...
Jorge L. Ortiz, Roberto Piñeiro
ICDE
2008
IEEE
122views Database» more  ICDE 2008»
14 years 10 months ago
On Signatures for Communication Graphs
Abstract-- Communications between individuals can be represented by (weighted, multi-) graphs. Many applications operate on communication graphs associated with telephone calls, em...
Graham Cormode, Flip Korn, S. Muthukrishnan, Yihua...
ICML
2007
IEEE
14 years 9 months ago
Conditional random fields for multi-agent reinforcement learning
Conditional random fields (CRFs) are graphical models for modeling the probability of labels given the observations. They have traditionally been trained with using a set of obser...
Xinhua Zhang, Douglas Aberdeen, S. V. N. Vishwanat...
NSDI
2004
13 years 10 months ago
Structure Management for Scalable Overlay Service Construction
This paper explores the model of providing a common overlay structure management layer to assist the construction of large-scale wide-area Internet services. To this end, we propo...
Kai Shen