66 search results - page 7 / 14 » Analyzing Outliers Cautiously |
ICASSP
2010
IEEE
13 years 7 months ago
2010
IEEE
Algorithms such as Least Median of Squares (LMedS) and Random Sample Consensus (RANSAC) have been very successful for low-dimensional robust regression problems. However, the comb...
IMSCCS
2007
IEEE
14 years 1 months ago
2007
IEEE
To analyze the linear correlations of numeric attributes of government data, this paper proposes a method based on the clustering algorithm. A clustering method is adopted to prun...
COMPGEOM
1997
ACM
13 years 11 months ago
1997
ACM
Given a pair of nonidentical complex objects, de ning and determining how similar they are to each other is a nontrivial problem. In data mining applications, one frequently nee...
CMSB
2004
Springer
13 years 11 months ago
2004
Springer
We propose a robust estimation method of gene networks based on microarray gene expression data. It is well-known that microarray data contain a large amount of noise and some outl...
WSC
2004
13 years 8 months ago
2004
Data Farming is a methodology and capability that makes use of high performance computing to run models many times. This capability gives modelers and their clients the enhanced a...