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ICANN
2005
Springer
14 years 2 months ago
Associative Learning in Hierarchical Self Organizing Learning Arrays
In this paper we introduce feedback based associative learning in self-organized learning arrays (SOLAR). SOLAR structures are hierarchically organized and have the ability to clas...
Janusz A. Starzyk, Zhen Zhu, Yue Li
IMC
2007
ACM
13 years 10 months ago
Blind source separation approach to performance diagnosis and dependency discovery
We consider the problem of diagnosing performance problems in distributed system and networks given end-to-end performance measurements provided by test transactions, or probes. C...
Gaurav Chandalia, Irina Rish
CVPR
1997
IEEE
14 years 10 months ago
Global Training of Document Processing Systems Using Graph Transformer Networks
We propose a new machine learning paradigm called Graph Transformer Networks that extends the applicability of gradient-based learning algorithms to systems composed of modules th...
Léon Bottou, Yoshua Bengio, Yann LeCun
IJCNN
2000
IEEE
14 years 1 months ago
Hardware Implementation of a PCA Learning Network by an Asynchronous PDM Digital Circuit
We have fabricated a PCA (Principal Component Analysis) learning network in a FPGA (Field Programmable Gate Array) by using an asynchronous PDM (Pulse Density Modulation) digital ...
Yuzo Hirai, Kuninori Nishizawa
BC
1999
108views more  BC 1999»
13 years 8 months ago
Exact digital simulation of time-invariant linear systems with applications to neuronal modeling
An ecient new method for the exact digital simulation of time-invariant linear systems is presented. Such systems are frequently encountered as models for neuronal systems, or as s...
Stefan Rotter, Markus Diesmann