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ICDM
2009
IEEE
107views Data Mining» more  ICDM 2009»
15 years 4 months ago
Naive Bayes Classification of Uncertain Data
Traditional machine learning algorithms assume that data are exact or precise. However, this assumption may not hold in some situations because of data uncertainty arising from mea...
Jiangtao Ren, Sau Dan Lee, Xianlu Chen, Ben Kao, R...
IDEAL
2010
Springer
15 years 3 months ago
Robust 1-Norm Soft Margin Smooth Support Vector Machine
Based on studies and experiments on the loss term of SVMs, we argue that 1-norm measurement is better than 2-norm measurement for outlier resistance. Thus, we modify the previous 2...
Li-Jen Chien, Yuh-Jye Lee, Zhi-Peng Kao, Chih-Chen...
JOI
2010
79views more  JOI 2010»
15 years 1 months ago
The effect of scholar collaboration on impact and quality of academic papers
We study how scholar collaboration varies across disciplines in science, social science, arts and humanities and the effects of author collaboration on impact and quality of co-au...
Massimo Franceschet, Antonio Costantini
CIKM
2011
Springer
14 years 6 months ago
On the elasticity of NoSQL databases over cloud management platforms
NoSQL databases focus on analytical processing of large scale datasets, offering increased scalability over commodity hardware. One of their strongest features is elasticity, whi...
Ioannis Konstantinou, Evangelos Angelou, Christina...
KDD
2012
ACM
281views Data Mining» more  KDD 2012»
13 years 9 months ago
Active spectral clustering via iterative uncertainty reduction
Spectral clustering is a widely used method for organizing data that only relies on pairwise similarity measurements. This makes its application to non-vectorial data straightforw...
Fabian L. Wauthier, Nebojsa Jojic, Michael I. Jord...