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» A Framework for Grid-based Neural Networks
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IJNCR
2010
59views more  IJNCR 2010»
14 years 7 months ago
Cognitively Inspired Neural Network for Recognition of Situations
we present a cognitively inspired mathematical learning framework called Neural Modeling Fields (NMF). We apply it to learning and recognition of situations composed of objects. NM...
Roman Ilin, Leonid I. Perlovsky
ICAISC
2004
Springer
15 years 3 months ago
Chaotic Itinerancy for Patterns Separation
Chaotic neural network with external inputs has been used as a mixed input pattern separator. In contrast to previous work on the subject, highly chaotic dynamical system (LLE ≈ ...
Pawel Matykiewicz
ICANN
2011
Springer
14 years 1 months ago
Learning from Multiple Annotators with Gaussian Processes
Abstract. In many supervised learning tasks it can be costly or infeasible to obtain objective, reliable labels. We may, however, be able to obtain a large number of subjective, po...
Perry Groot, Adriana Birlutiu, Tom Heskes

Publication
644views
15 years 3 months ago
Benchmarking and Comparing Encog, Neuroph and JOONE Neural Networks
In this article the author benchmarks Neuroph, JOONE and Encog. These are the three major open source frameworks for Java. Encog also has a .Net version. I will give all three fram...
Tahere Taheri
IJON
2006
132views more  IJON 2006»
14 years 9 months ago
A binary neural decision table classifier
In this paper, we introduce a neural network -based decision table algorithm. We focus on the implementation details of the decision table algorithm when it is constructed using t...
Victoria J. Hodge, Simon O'Keefe, Jim Austin