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NIPS
1998
15 years 8 months ago
Shrinking the Tube: A New Support Vector Regression Algorithm
A new algorithm for Support Vector regression is described. For a priori chosen , it automatically adjusts a flexible tube of minimal radius to the data such that at most a fracti...
Bernhard Schölkopf, Peter L. Bartlett, Alex J...
IJON
2008
95views more  IJON 2008»
15 years 6 months ago
A support vector machine with integer parameters
We describe here a method for building a support vector machine (SVM) with integer parameters. Our method is based on a branchand-bound procedure, derived from modern mixed intege...
Davide Anguita, Alessandro Ghio, Stefano Pischiutt...
DSS
2007
85views more  DSS 2007»
15 years 6 months ago
An experiment on the effectiveness of creativity enhancing decision-making support systems
Recent research suggests that creativity can enhance the performance of people for a variety of tasks, including decisionmaking. Creativity enhancements can be delivered through a...
Guisseppi A. Forgionne, John Newman
CANDC
2002
ACM
15 years 6 months ago
Drug Design by Machine Learning: Support Vector Machines for Pharmaceutical Data Analysis
We show that the support vector machine (SVM) classification algorithm, a recent development from the machine learning community, proves its potential for structure
Robert Burbidge, Matthew W. B. Trotter, Bernard F....
ML
2007
ACM
130views Machine Learning» more  ML 2007»
15 years 6 months ago
A note on Platt's probabilistic outputs for support vector machines
Platt’s probabilistic outputs for Support Vector Machines (Platt, 2000) has been popular for applications that require posterior class probabilities. In this note, we propose an ...
Hsuan-Tien Lin, Chih-Jen Lin, Ruby C. Weng