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» Kernels and Regularization on Graphs
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82
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ICML
2007
IEEE
16 years 1 months ago
Multiclass multiple kernel learning
In many applications it is desirable to learn from several kernels. "Multiple kernel learning" (MKL) allows the practitioner to optimize over linear combinations of kern...
Alexander Zien, Cheng Soon Ong
ALT
2004
Springer
15 years 4 months ago
Applications of Regularized Least Squares to Classification Problems
Abstract. We present a survey of recent results concerning the theoretical and empirical performance of algorithms for learning regularized least-squares classifiers. The behavior ...
Nicolò Cesa-Bianchi
99
Voted
AAAI
2010
15 years 2 months ago
G-Optimal Design with Laplacian Regularization
In many real world applications, labeled data are usually expensive to get, while there may be a large amount of unlabeled data. To reduce the labeling cost, active learning attem...
Chun Chen, Zhengguang Chen, Jiajun Bu, Can Wang, L...
189
Voted
ICDT
2009
ACM
128views Database» more  ICDT 2009»
16 years 1 months ago
Efficient asymmetric inclusion between regular expression types
The inclusion of Regular Expressions (REs) is the kernel of any type-checking algorithm for XML manipulation languages. XML applications would benefit from the extension of REs wi...
Dario Colazzo, Giorgio Ghelli, Carlo Sartiani
ICIP
2009
IEEE
14 years 10 months ago
Windows and facades retrieval using similarity on graph of contours
The development of street-level geoviewers become recently a very active and challenging research topic. In this context, the detection, representation and classification of windo...
Jean-Emmanuel Haugeard, Sylvie Philipp-Foliguet, F...