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169
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SDM
2008
SIAM
144views Data Mining» more  SDM 2008»
15 years 5 months ago
Active Learning with Model Selection in Linear Regression
Optimally designing the location of training input points (active learning) and choosing the best model (model selection) are two important components of supervised learning and h...
Masashi Sugiyama, Neil Rubens
146
Voted
KDD
2007
ACM
138views Data Mining» more  KDD 2007»
15 years 9 months ago
High-quantile modeling for customer wallet estimation and other applications
In this paper we discuss the important practical problem of customer wallet estimation, i.e., estimation of potential spending by customers (rather than their expected spending). ...
Claudia Perlich, Saharon Rosset, Richard D. Lawren...
KDD
2005
ACM
99views Data Mining» more  KDD 2005»
15 years 9 months ago
Disease progression modeling from historical clinical databases
This paper considers the problem of modeling disease progression from historical clinical databases, with the ultimate objective of stratifying patients into groups with clearly d...
Ronald K. Pearson, Robert J. Kingan, Alan Hochberg
AUSDM
2006
Springer
85views Data Mining» more  AUSDM 2006»
15 years 7 months ago
A Framework of Combining Markov Model With Association Rules for Predicting Web Page Accesses
The importance of predicting Web users' behaviour and their next movement has been recognised and discussed by many researchers lately. Association rules and Markov models ar...
Faten Khalil, Jiuyong Li, Hua Wang
127
Voted
CGI
2004
IEEE
15 years 7 months ago
Surface Models of Tube Trees
This paper describes a new method for generating surfaces of branching tubular structures with given centerlines and radii. As the centerlines are not straight lines, the cross-se...
Petr Felkel, Rainer Wegenkittl, Katja Bühler