409 search results - page 12 / 82 » Representation of Functional Data in Neural Networks |
81
Voted
ESANN
2004
14 years 11 months ago
2004
Standard pattern recognition provides effective and noise-tolerant tools for machine learning tasks; however, most approaches only deal with real vectors of a finite and fixed dime...
81
Voted
ECAL
2007
Springer
15 years 4 months ago
2007
Springer
Abstract. A coarse-coding regulatory model that facilitates neural heterogeneity through a morphogenetic process is presented. The model demonstrates cellular and tissue extensibil...
NN
2000
Springer
14 years 10 months ago
2000
Springer
A fundamental problem in neural network research, as well as in many other disciplines, is finding a suitable representation of multivariate data, i.e. random vectors. For reasons...
127
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IDA
2008
Springer
14 years 10 months ago
2008
Springer
Currently statistical and artificial neural network methods dominate in data mining applications. Alternative relational (symbolic) data mining methods have shown their effectivene...
100
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ANNPR
2008
Springer
15 years 4 days ago
2008
Springer
Clustering constitutes an ubiquitous problem when dealing with huge data sets for data compression, visualization, or preprocessing. Prototype-based neural methods such as neural g...