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» Computing LTS Regression for Large Data Sets
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JMLR
2006
105views more  JMLR 2006»
13 years 9 months ago
Parallel Software for Training Large Scale Support Vector Machines on Multiprocessor Systems
Parallel software for solving the quadratic program arising in training support vector machines for classification problems is introduced. The software implements an iterative dec...
Luca Zanni, Thomas Serafini, Gaetano Zanghirati
KDD
2007
ACM
182views Data Mining» more  KDD 2007»
14 years 9 months ago
Cleaning disguised missing data: a heuristic approach
In some applications such as filling in a customer information form on the web, some missing values may not be explicitly represented as such, but instead appear as potentially va...
Ming Hua, Jian Pei
BMCBI
2011
13 years 22 days ago
Proteinortho: Detection of (Co-)Orthologs in Large-Scale Analysis
Background: Orthology analysis is an important part of data analysis in many areas of bioinformatics such as comparative genomics and molecular phylogenetics. The ever-increasing ...
Marcus Lechner, Sven Findeiß, Lydia Steiner,...
ICML
2009
IEEE
14 years 10 months ago
Prototype vector machine for large scale semi-supervised learning
Practical data mining rarely falls exactly into the supervised learning scenario. Rather, the growing amount of unlabeled data poses a big challenge to large-scale semi-supervised...
Kai Zhang, James T. Kwok, Bahram Parvin
GBRPR
2009
Springer
14 years 3 months ago
On Computing Canonical Subsets of Graph-Based Behavioral Representations
The collection of behavior protocols is a common practice in human factors research, but the analysis of these large data sets has always been a tedious and time-consuming process....
Walter C. Mankowski, Peter Bogunovich, Ali Shokouf...