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» On higher-order perceptron algorithms
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ISDA
2006
IEEE
14 years 3 months ago
Modular Neural Network Task Decomposition Via Entropic Clustering
The use of monolithic neural networks (such as a multilayer perceptron) has some drawbacks: e.g. slow learning, weight coupling, the black box effect. These can be alleviated by t...
Jorge M. Santos, Luís A. Alexandre, Joaquim...
SIGIR
2004
ACM
14 years 3 months ago
A joint framework for collaborative and content filtering
This paper proposes a novel, unified, and systematic approach to combine collaborative and content-based filtering for ranking and user preference prediction. The framework inco...
Justin Basilico, Thomas Hofmann
ICA
2004
Springer
14 years 3 months ago
Post-nonlinear Independent Component Analysis by Variational Bayesian Learning
Post-nonlinear (PNL) independent component analysis (ICA) is a generalisation of ICA where the observations are assumed to have been generated from independent sources by linear mi...
Alexander Ilin, Antti Honkela
NIPS
2004
13 years 11 months ago
On-Chip Compensation of Device-Mismatch Effects in Analog VLSI Neural Networks
Device mismatch in VLSI degrades the accuracy of analog arithmetic circuits and lowers the learning performance of large-scale neural networks implemented in this technology. We s...
Miguel Figueroa, Seth Bridges, Chris Diorio
HIS
2008
13 years 11 months ago
Hybrid Approach for Machine Scheduling Optimization in Custom Furniture Industry
Machine scheduling is a critical problem in industries where products are custom-designed. The wide range of products, the lack of previous experiences in manufacturing, and the s...
Juan Carlos Vidal, Manuel Mucientes, Alberto Bugar...