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JMLR
2006
389views more  JMLR 2006»
15 years 6 months ago
A Very Fast Learning Method for Neural Networks Based on Sensitivity Analysis
This paper introduces a learning method for two-layer feedforward neural networks based on sensitivity analysis, which uses a linear training algorithm for each of the two layers....
Enrique Castillo, Bertha Guijarro-Berdiñas,...
JMM2
2006
167views more  JMM2 2006»
15 years 6 months ago
Computer Vision Methods for Improved Mobile Robot State Estimation in Challenging Terrains
External perception based on vision plays a critical role in developing improved and robust localization algorithms, as well as gaining important information about the vehicle and ...
Annalisa Milella, Giulio Reina, Roland Siegwart
ENGL
2007
148views more  ENGL 2007»
15 years 6 months ago
A General Reflex Fuzzy Min-Max Neural Network
—“A General Reflex Fuzzy Min-Max Neural Network” (GRFMN) is presented. GRFMN is capable to extract the underlying structure of the data by means of supervised, unsupervised a...
Abhijeet V. Nandedkar, Prabir Kumar Biswas
JODS
2006
166views Data Mining» more  JODS 2006»
15 years 6 months ago
Model-Driven Ontology Engineering
W3C's Semantic Web provides a common framework that allows data to be shared and reused across application and enterprise. As the Semantic Web shapes the future of the Web, it...
Yue Pan, Guo Tong Xie, Li Ma, Yang Yang, Zhaoming ...
MICRO
2008
IEEE
79views Hardware» more  MICRO 2008»
15 years 6 months ago
Strategies for mapping dataflow blocks to distributed hardware
Distributed processors must balance communication and concurrency. When dividing instructions among the processors, key factors are the available concurrency, criticality of depen...
Behnam Robatmili, Katherine E. Coons, Doug Burger,...
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