Sciweavers

1039 search results - page 12 / 208
» Kernels and Regularization on Graphs
Sort
View
TSMC
2008
99views more  TSMC 2008»
13 years 10 months ago
Robust Regularized Kernel Regression
Robust regression techniques are critical to fitting data with noise in real-world applications. Most previous work of robust kernel regression is usually formulated into a dual fo...
Jianke Zhu, Steven C. H. Hoi, Michael R. Lyu
ICML
2009
IEEE
13 years 8 months ago
Multiple indefinite kernel learning with mixed norm regularization
We address the problem of learning classifiers using several kernel functions. On the contrary to many contributions in the field of learning from different sources of information...
Matthieu Kowalski, Marie Szafranski, Liva Ralaivol...
ICPR
2006
IEEE
14 years 4 months ago
Regularized Locality Preserving Learning of Pre-Image Problem in Kernel Principal Component Analysis
In this paper, we address the pre-image problem in kernel principal component analysis (KPCA). The preimage problem finds a pattern as the pre-image of a feature vector defined in...
Weishi Zheng, Jian-Huang Lai
ICML
2002
IEEE
14 years 11 months ago
Diffusion Kernels on Graphs and Other Discrete Input Spaces
The application of kernel-based learning algorithms has, so far, largely been confined to realvalued data and a few special data types, such as strings. In this paper we propose a...
Risi Imre Kondor, John D. Lafferty
CORR
2010
Springer
66views Education» more  CORR 2010»
13 years 9 months ago
Non-Sparse Regularization and Efficient Training with Multiple Kernels
Marius Kloft, Ulf Brefeld, Sören Sonnenburg, ...