311 search results - page 8 / 63 » Robust kernel Isomap |
49
Voted
ICPR
2004
IEEE
16 years 25 days ago
2004
IEEE
ICML
2004
IEEE
16 years 16 days ago
2004
IEEE
The goal of feature induction is to automatically create nonlinear combinations of existing features as additional input features to improve classification accuracy. Typically, no...
TSMC
2008
14 years 11 months ago
2008
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...
117
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KDD
2006
ACM
16 years 3 days ago
2006
ACM
Kernel machines have been shown as the state-of-the-art learning techniques for classification. In this paper, we propose a novel general framework of learning the Unified Kernel ...
109
Voted
ICML
2010
IEEE
15 years 24 days ago
2010
IEEE
We study the problem of uncertainty in the entries of the Kernel matrix, arising in SVM formulation. Using Chance Constraint Programming and a novel large deviation inequality we ...