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» Smoothing of Chemical Analysis Data by Neural Networks
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ICANN
2005
Springer
13 years 10 months ago
Smooth Bayesian Kernel Machines
Abstract. In this paper, we consider the possibility of obtaining a kernel machine that is sparse in feature space and smooth in output space. Smooth in output space implies that t...
Rutger W. ter Borg, Léon J. M. Rothkrantz
NN
2008
Springer
112views Neural Networks» more  NN 2008»
13 years 5 months ago
FIND - A unified framework for neural data analysis
Ralph Meier, Ulrich Egert, Ad Aertsen, Martin P. N...
KDD
2008
ACM
121views Data Mining» more  KDD 2008»
14 years 5 months ago
Reconstructing chemical reaction networks: data mining meets system identification
We present an approach to reconstructing chemical reaction networks from time series measurements of the concentrations of the molecules involved. Our solution strategy combines t...
Yong Ju Cho, Naren Ramakrishnan, Yang Cao
ICANN
2007
Springer
13 years 11 months ago
Visualising Class Distribution on Self-organising Maps
The Self-Organising Map is a popular unsupervised neural network model which has been used successfully in various contexts for clustering data. Even though labelled data is not re...
Rudolf Mayer, Taha Abdel Aziz, Andreas Rauber
ICANN
2009
Springer
13 years 11 months ago
Acquiring and Classifying Signals from Nanopores and Ion-Channels
The use of engineered nanopores as sensing elements for chemical and biological agents is a rapidly developing area. The distinct signatures of nanopore-nanoparticle lend themselve...
Bharatan Konnanath, Prasanna Sattigeri, Trupthi Ma...