Sciweavers

3245 search results - page 522 / 649
» Mining Transformed Data Sets
Sort
View
KDD
2001
ACM
145views Data Mining» more  KDD 2001»
16 years 6 months ago
Proximal support vector machine classifiers
Given a dataset, each element of which labeled by one of k labels, we construct by a very fast algorithm, a k-category proximal support vector machine (PSVM) classifier. Proximal s...
Glenn Fung, Olvi L. Mangasarian
ICDM
2009
IEEE
110views Data Mining» more  ICDM 2009»
16 years 1 months ago
Finding Maximal Fully-Correlated Itemsets in Large Databases
—Finding the most interesting correlations among items is essential for problems in many commercial, medical, and scientific domains. Much previous research focuses on finding ...
Lian Duan, William Nick Street
ICDM
2008
IEEE
109views Data Mining» more  ICDM 2008»
16 years 26 days ago
Quantitative Association Analysis Using Tree Hierarchies
Association analysis arises in many important applications such as bioinformatics and business intelligence. Given a large collection of measurements over a set of samples, associ...
Feng Pan, Lynda Yang, Leonard McMillan, Fernando P...
ROCAI
2004
Springer
15 years 11 months ago
Learning Mixtures of Localized Rules by Maximizing the Area Under the ROC Curve
We introduce a model class for statistical learning which is based on mixtures of propositional rules. In our mixture model, the weight of a rule is not uniform over the entire ins...
Tobias Sing, Niko Beerenwinkel, Thomas Lengauer
CIKM
2008
Springer
15 years 8 months ago
Learning a two-stage SVM/CRF sequence classifier
Learning a sequence classifier means learning to predict a sequence of output tags based on a set of input data items. For example, recognizing that a handwritten word is "ca...
Guilherme Hoefel, Charles Elkan