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KDD
2006
ACM
115views Data Mining» more  KDD 2006»
16 years 5 months ago
Supervised probabilistic principal component analysis
Principal component analysis (PCA) has been extensively applied in data mining, pattern recognition and information retrieval for unsupervised dimensionality reduction. When label...
Shipeng Yu, Kai Yu, Volker Tresp, Hans-Peter Krieg...
138
Voted
CLEF
2007
Springer
15 years 10 months ago
Simple Morpheme Labelling in Unsupervised Morpheme Analysis
This paper presents my participation to the second Morpho Challenge. Results have been obtained with the algorithm already presented at Morpho Challenge 2005. The system takes a p...
Delphine Bernhard
119
Voted
ICML
2009
IEEE
16 years 5 months ago
Generalization analysis of listwise learning-to-rank algorithms
This paper presents a theoretical framework for ranking, and demonstrates how to perform generalization analysis of listwise ranking algorithms using the framework. Many learning-...
Yanyan Lan, Tie-Yan Liu, Zhiming Ma, Hang Li
139
Voted
KDD
2007
ACM
159views Data Mining» more  KDD 2007»
16 years 5 months ago
Local decomposition for rare class analysis
Given its importance, the problem of predicting rare classes in large-scale multi-labeled data sets has attracted great attentions in the literature. However, the rare-class probl...
Junjie Wu, Hui Xiong, Peng Wu, Jian Chen
ALT
2008
Springer
16 years 1 months ago
Visual Analytics: Combining Automated Discovery with Interactive Visualizations
In numerous application areas fast growing data sets develop with ever higher complexity and dynamics. A central challenge is to filter the substantial information and to communic...
Daniel A. Keim, Florian Mansmann, Daniela Oelke, H...