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» Neural Networks and Complexity Theory
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FOCI
2007
IEEE
15 years 10 months ago
Realized through a Marriage with Modular-Networks
Abstract— This paper presents a new development of selforganizing maps (SOM), realized by combining them with the idea of a modular network. This we called a modular network SOM ...
Tetsuo Furukawa, Kazuhiro Tokunaga
COLT
1995
Springer
15 years 8 months ago
Regression NSS: An Alternative to Cross Validation
The Noise Sensitivity Signature (NSS), originally introduced by Grossman and Lapedes (1993), was proposed as an alternative to cross validation for selecting network complexity. I...
Michael P. Perrone, Brian S. Blais
MOBIHOC
2008
ACM
16 years 4 months ago
Complexity in wireless scheduling: impact and tradeoffs
It has been an important research topic since 1992 to maximize stability region in constrained queueing systems, which includes the study of scheduling over wireless ad hoc networ...
Yung Yi, Alexandre Proutiere, Mung Chiang
SIAMSC
2008
126views more  SIAMSC 2008»
15 years 4 months ago
Towards a Statistical Theory of Texture Evolution in Polycrystals
Abstract. Most technologically useful materials possess polycrystalline microstructures composed of a large number of small monocrystalline grains separated by grain boundaries. Th...
K. Barmak, M. Emelianenko, Dmitry Golovaty, David ...
ISNN
2004
Springer
15 years 9 months ago
Sparse Bayesian Learning Based on an Efficient Subset Selection
Based on rank-1 update, Sparse Bayesian Learning Algorithm (SBLA) is proposed. SBLA has the advantages of low complexity and high sparseness, being very suitable for large scale pr...
Liefeng Bo, Ling Wang, Licheng Jiao