130 search results - page 2 / 26 » Kernel Machine Based Feature Extraction Algorithms for Regre... |
CIKM
2009
Springer
13 years 11 months ago
2009
Springer
Features in many real world applications such as Cheminformatics, Bioinformatics and Information Retrieval have complex internal structure. For example, frequent patterns mined fr...
ICASSP
2009
IEEE
13 years 9 months ago
2009
IEEE
We investigate a method using support vector machines (SVMs) with walk-based graph kernels for high-level feature extraction from images. In this method, each image is first segme...
KDD
2006
ACM
14 years 5 months 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 ...
ICML
2006
IEEE
14 years 6 months ago
2006
IEEE
We extend tree-based methods to the prediction of structured outputs using a kernelization of the algorithm that allows one to grow trees as soon as a kernel can be defined on the...
ESANN
2007
13 years 6 months ago
2007
Abstract. The convex optimisation problem involved in fitting a kernel probit regression (KPR) model can be solved efficiently via an iteratively re-weighted least-squares (IRWLS)...