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127
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CORR
2008
Springer
99views Education» more  CORR 2008»
15 years 4 months ago
When is there a representer theorem? Vector versus matrix regularizers
We consider a general class of regularization methods which learn a vector of parameters on the basis of linear measurements. It is well known that if the regularizer is a nondecr...
Andreas Argyriou, Charles A. Micchelli, Massimilia...
ENTCS
2006
140views more  ENTCS 2006»
15 years 4 months ago
Stochastic Ambient Calculus
Mobile Ambients (MA) have acquired a fundamental role in modelling mobility in systems with mobile code and mobile devices, and in computation over administrative domains. We pres...
Maria Grazia Vigliotti, Peter G. Harrison
IOR
2008
109views more  IOR 2008»
15 years 4 months ago
Polynomial-Time Algorithms for Stochastic Uncapacitated Lot-Sizing Problems
In 1958, Wagner and Whitin published a seminal paper on the deterministic uncapacitated lot-sizing problem, a fundamental model that is embedded in many practical production plann...
Yongpei Guan, Andrew J. Miller
CORR
2007
Springer
164views Education» more  CORR 2007»
15 years 4 months ago
Consistency of the group Lasso and multiple kernel learning
We consider the least-square regression problem with regularization by a block 1-norm, that is, a sum of Euclidean norms over spaces of dimensions larger than one. This problem, r...
Francis Bach
132
Voted
ML
2008
ACM
162views Machine Learning» more  ML 2008»
15 years 4 months ago
Incorporating prior knowledge in support vector regression
This paper explores the addition of constraints to the linear programming formulation of the support vector regression problem for the incorporation of prior knowledge. Equality an...
Fabien Lauer, Gérard Bloch