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ICANN
2005
Springer
15 years 8 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
15 years 4 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
16 years 5 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
15 years 7 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»
15 years 2 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