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BMCBI
2006
152views more  BMCBI 2006»
15 years 6 months ago
Predicting deleterious nsSNPs: an analysis of sequence and structural attributes
Background: There has been an explosion in the number of single nucleotide polymorphisms (SNPs) within public databases. In this study we focused on non-synonymous protein coding ...
Richard J. B. Dobson, Patricia B. Munroe, Mark J. ...
ALT
2005
Springer
16 years 3 months ago
An Analysis of the Anti-learning Phenomenon for the Class Symmetric Polyhedron
This paper deals with an unusual phenomenon where most machine learning algorithms yield good performance on the training set but systematically worse than random performance on th...
Adam Kowalczyk, Olivier Chapelle
FOCI
2007
IEEE
15 years 10 months ago
An Investigation on the Compression Quality of aiNet
AiNet is an immune-inspired algorithm for data compression, i.e. the reduction of redundancy in data sets. In this paper we investigate the compression quality of aiNet. Therefore,...
Thomas Stibor, Jonathan Timmis
GFKL
2004
Springer
137views Data Mining» more  GFKL 2004»
16 years 1 days ago
Density Estimation and Visualization for Data Containing Clusters of Unknown Structure
Abstract. A method for measuring the density of data sets that contain an unknown number of clusters of unknown sizes is proposed. This method, called Pareto Density Estimation (PD...
Alfred Ultsch
IDA
2005
Springer
16 years 5 days ago
Condensed Nearest Neighbor Data Domain Description
—A simple yet effective unsupervised classification rule to discriminate between normal and abnormal data is based on accepting test objects whose nearest neighbors’ distances ...
Fabrizio Angiulli