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ICDM
2007
IEEE
109views Data Mining» more  ICDM 2007»
16 years 1 months ago
A Support Vector Approach to Censored Targets
Censored targets, such as the time to events in survival analysis, can generally be represented by intervals on the real line. In this paper, we propose a novel support vector tec...
Pannagadatta K. Shivaswamy, Wei Chu, Martin Jansch...
MODELLIERUNG
2004
15 years 8 months ago
CASE Support and Model-Based Development
ion from the implementation they use. Some tools rather consequently use this abstract model; others at least partly keep the implementational view, modeling components, e.g., by o...
Bernhard Schätz, Jan Romberg, Oscar Slotosch,...
JMLR
2006
150views more  JMLR 2006»
15 years 7 months ago
Exact 1-Norm Support Vector Machines Via Unconstrained Convex Differentiable Minimization
Support vector machines utilizing the 1-norm, typically set up as linear programs (Mangasarian, 2000; Bradley and Mangasarian, 1998), are formulated here as a completely unconstra...
Olvi L. Mangasarian
KDD
2004
ACM
124views Data Mining» more  KDD 2004»
16 years 12 days ago
Incorporating prior knowledge with weighted margin support vector machines
Like many purely data-driven machine learning methods, Support Vector Machine (SVM) classifiers are learned exclusively from the evidence presented in the training dataset; thus ...
Xiaoyun Wu, Rohini K. Srihari
SIGUCCS
2003
ACM
16 years 9 days ago
Supporting a Windows XP/Red Hat Linux dual boot environment
Customers of public computing sites and faculty who use the public computer classrooms to teach want diversity in computing. Inevitably, there’s a group that does not want to te...
Bert Valenzuela