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ICDM
2008
IEEE
97views Data Mining» more  ICDM 2008»
15 years 10 months ago
Semi-supervised Learning from General Unlabeled Data
We consider the problem of Semi-supervised Learning (SSL) from general unlabeled data, which may contain irrelevant samples. Within the binary setting, our model manages to better...
Kaizhu Huang, Zenglin Xu, Irwin King, Michael R. L...
KDD
2009
ACM
191views Data Mining» more  KDD 2009»
15 years 8 months ago
Improving data mining utility with projective sampling
Overall performance of the data mining process depends not just on the value of the induced knowledge but also on various costs of the process itself such as the cost of acquiring...
Mark Last
132
Voted
ICASSP
2007
IEEE
15 years 9 months ago
Spatial Mixture Modelling for the Joint Detection-Estimation of Brain Activity in fMRI
— Within-subject analysis in event-related functional Magnetic Resonance Imaging (fMRI) first relies on (i) a detection step to localize which parts of the brain are activated b...
Thomas Vincent, Philippe Ciuciu, Jérô...
DAWAK
2006
Springer
15 years 7 months ago
Mining Direct Marketing Data by Ensembles of Weak Learners and Rough Set Methods
This paper describes problem of prediction that is based on direct marketing data coming from Nationwide Products and Services Questionnaire (NPSQ) prepared by Polish division of A...
Jerzy Blaszczynski, Krzysztof Dembczynski, Wojciec...
ADHOCNOW
2008
Springer
15 years 4 months ago
A Novel Mobility Model from a Heterogeneous Military MANET Trace
In this paper we describe our analysis of a real trace and propose a mobility model. The trace data we used for this study was collected from a military experiment carried out in L...
Xiaofeng Lu, Yung-chih Chen, Ian X. Y. Leung, Zhan...