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GIS
2009
ACM
14 years 1 months ago
Dynamic network data exploration through semi-supervised functional embedding
The paper presents a framework for semi-supervised nonlinear embedding methods useful for exploratory analysis and visualization of spatio-temporal network data. The method provid...
Alexei Pozdnoukhov
IJON
2007
109views more  IJON 2007»
13 years 9 months ago
Monophonic sound source separation with an unsupervised network of spiking neurones
We incorporate auditory-based features into an unconventional pattern classification system, consisting of a network of spiking neurones with dynamical and multiplicative synapse...
Ramin Pichevar, Jean Rouat
BMCBI
2008
220views more  BMCBI 2008»
13 years 10 months ago
Gene prediction in metagenomic fragments: A large scale machine learning approach
Background: Metagenomics is an approach to the characterization of microbial genomes via the direct isolation of genomic sequences from the environment without prior cultivation. ...
Katharina J. Hoff, Maike Tech, Thomas Lingner, Rol...
ESWA
2008
119views more  ESWA 2008»
13 years 9 months ago
Incremental clustering of mixed data based on distance hierarchy
Clustering is an important function in data mining. Its typical application includes the analysis of consumer's materials. Adaptive resonance theory network (ART) is very pop...
Chung-Chian Hsu, Yan-Ping Huang
SNPD
2004
13 years 11 months ago
Prediction of Protein Dispensability through Integrated Analysis of Multiple-Source High-Throughput Data
Protein dispensability is fundamental to understanding of gene function and evolution. It is usually studied at the individual gene phenotype level. Recent advances in generating ...
Yu Chen, Dong Xu