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CINQ
2004
Springer
157views Database» more  CINQ 2004»
15 years 1 months ago
Inductive Databases and Multiple Uses of Frequent Itemsets: The cInQ Approach
Inductive databases (IDBs) have been proposed to afford the problem of knowledge discovery from huge databases. With an IDB the user/analyst performs a set of very different operat...
Jean-François Boulicaut
KDD
2002
ACM
160views Data Mining» more  KDD 2002»
15 years 10 months ago
Scaling multi-class support vector machines using inter-class confusion
Support vector machines (SVMs) excel at two-class discriminative learning problems. They often outperform generative classifiers, especially those that use inaccurate generative m...
Shantanu Godbole, Sunita Sarawagi, Soumen Chakraba...
NECO
2006
157views more  NECO 2006»
14 years 10 months ago
Experiments with AdaBoost.RT, an Improved Boosting Scheme for Regression
The application of boosting technique to the regression problems has received relatively little attention in contrast to the research aimed at classification problems. This paper ...
Durga L. Shrestha, Dimitri P. Solomatine
MM
2003
ACM
145views Multimedia» more  MM 2003»
15 years 3 months ago
Proscenium: a framework for spatio-temporal video editing
We present an approach to video editing where movie sequences are treated as spatio-temporal volumes that can be sheered and warped under user control. This simple capability enab...
Eric P. Bennett, Leonard McMillan
ICDM
2007
IEEE
121views Data Mining» more  ICDM 2007»
15 years 4 months ago
Finding Predictive Runs with LAPS
We present an extension to the Lasso [9] for binary classification problems with ordered attributes. Inspired by the Fused Lasso [8] and the Group Lasso [10, 4] models, we aim to...
Suhrid Balakrishnan, David Madigan