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BMCBI
2008
131views more  BMCBI 2008»
13 years 8 months ago
CoCoNUT: an efficient system for the comparison and analysis of genomes
Background: Comparative genomics is the analysis and comparison of genomes from different species. This area of research is driven by the large number of sequenced genomes and hea...
Mohamed Ibrahim Abouelhoda, Stefan Kurtz, Enno Ohl...
ADCM
2000
45views more  ADCM 2000»
13 years 8 months ago
Training neural networks with noisy data as an ill-posed problem
This paper is devoted to the analysis of network approximation in the framework of approximation and regularization theory. It is shown that training neural networks and similar n...
Martin Burger, Heinz W. Engl
SSPR
2004
Springer
14 years 2 months ago
Finding Clusters and Components by Unsupervised Learning
We present a tutorial survey on some recent approaches to unsupervised machine learning in the context of statistical pattern recognition. In statistical PR, there are two classica...
Erkki Oja
BILDMED
2004
125views Algorithms» more  BILDMED 2004»
13 years 10 months ago
Fast and Accurate Interactive Image Segmentation in the GEOMAP Framework
Although many interactive segmentation methods exists, none can be considered a silver bullet for all clinical tasks. Moreover, incompatible data representations prevent multiple a...
Hans Meine, Ullrich Köthe, H. Siegfried Stieh...
ENGL
2007
180views more  ENGL 2007»
13 years 8 months ago
Biological Data Mining for Genomic Clustering Using Unsupervised Neural Learning
— The paper aims at designing a scheme for automatic identification of a species from its genome sequence. A set of 64 three-tuple keywords is first generated using the four type...
Shreyas Sen, Seetharam Narasimhan, Amit Konar