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» Fisher Kernels for Relational Data
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ICML
2006
IEEE
15 years 10 months ago
Learning a kernel function for classification with small training samples
When given a small sample, we show that classification with SVM can be considerably enhanced by using a kernel function learned from the training data prior to discrimination. Thi...
Tomer Hertz, Aharon Bar-Hillel, Daphna Weinshall
ICML
2008
IEEE
15 years 10 months ago
Active kernel learning
Identifying the appropriate kernel function/matrix for a given dataset is essential to all kernel-based learning techniques. A variety of kernel learning algorithms have been prop...
Steven C. H. Hoi, Rong Jin
ISCAPDCS
2003
14 years 10 months ago
Using Kernel Coupling to Improve the Performance of Multithreaded Applications
Kernel coupling refers to the effect that kernel i has on kernel j in relation to running each kernel in isolation. The two kernels can correspond to adjacent kernels or a chain ...
Jonathan Geisler, Valerie E. Taylor, Xingfu Wu, Ri...
ACL
2010
14 years 7 months ago
Convolution Kernel over Packed Parse Forest
This paper proposes a convolution forest kernel to effectively explore rich structured features embedded in a packed parse forest. As opposed to the convolution tree kernel, the p...
Min Zhang, Hui Zhang, Haizhou Li
CJ
2006
111views more  CJ 2006»
14 years 9 months ago
Relational Formalism for the Management of Spatial Data
Operations on spatial objects have much individuality. As a consequence, the spatial data modelling approaches, which have been proposed, have to consider either data types of the...
Nikos A. Lorentzos, Jose Ramon Rios Viqueira