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» Experimental perspectives on learning from imbalanced data
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CCGRID
2007
IEEE
14 years 2 months ago
Performance Evaluation in Grid Computing: A Modeling and Prediction Perspective
Experimental performance studies on computer systems, including Grids, require deep understandings on their workload characteristics. The need arises from two important and closel...
Hui Li
JDWM
2008
90views more  JDWM 2008»
13 years 7 months ago
Overview of PAKDD Competition 2007
The PAKDD Competition 2007 involved the problem of predicting customers'propensity to take up a home loanwhenacollectionofdatafromcreditcardusersareprovided.Itisratherdifficu...
Junping Zhang, Guo-Zheng Li
PKDD
2010
Springer
138views Data Mining» more  PKDD 2010»
13 years 6 months ago
Constructing Nonlinear Discriminants from Multiple Data Views
There are many situations in which we have more than one view of a single data source, or in which we have multiple sources of data that are aligned. We would like to be able to bu...
Tom Diethe, David R. Hardoon, John Shawe-Taylor
ISCI
2008
165views more  ISCI 2008»
13 years 7 months ago
Support vector regression from simulation data and few experimental samples
This paper considers nonlinear modeling based on a limited amount of experimental data and a simulator built from prior knowledge. The problem of how to best incorporate the data ...
Gérard Bloch, Fabien Lauer, Guillaume Colin...
AAAI
1994
13 years 9 months ago
Applying VC-Dimension Analysis To 3D Object Recognition from Perspective Projections
We analyze the amount of information needed to carry out model-based recognition tasks, in the context of a probabilistic data collection model, and independently of the recogniti...
Michael Lindenbaum, Shai Ben-David