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ICANN
2001
Springer
15 years 11 months ago
Incremental Support Vector Machine Learning: A Local Approach
Abstract. In this paper, we propose and study a new on-line algorithm for learning a SVM based on Radial Basis Function Kernel: Local Incremental Learning of SVM or LISVM. Our meth...
Liva Ralaivola, Florence d'Alché-Buc
COLT
1997
Springer
15 years 10 months ago
Estimation of Time-Varying Parameters in Statistical Models: An Optimization Approach
Abstract. We propose a convex optimization approach to solving the nonparametric regression estimation problem when the underlying regression function is Lipschitz continuous. This...
Dimitris Bertsimas, David Gamarnik, John N. Tsitsi...
APLAS
2009
ACM
16 years 1 months ago
A Short Cut to Optimal Sequences
We propose a method for easily developing efficient programs for finding optimal sequences, such as the maximum weighted sequence of a set of feasible ones. We formalize a way to ...
Akimasa Morihata
EDBT
2008
ACM
167views Database» more  EDBT 2008»
16 years 6 months ago
HISSCLU: a hierarchical density-based method for semi-supervised clustering
In situations where class labels are known for a part of the objects, a cluster analysis respecting this information, i.e. semi-supervised clustering, can give insight into the cl...
Christian Böhm, Claudia Plant
SIGPRO
2002
92views more  SIGPRO 2002»
15 years 6 months ago
A unified method for optimizing linear image restoration filters
Image restoration from degraded images lies at the foundation of image processing, pattern recognition, and computer vision, so it has been extensively studied. A large number of ...
Masashi Sugiyama, Hidemitsu Ogawa