148 search results - page 9 / 30 » Feature space perspectives for learning the kernel |
ICPR
2004
IEEE
14 years 9 months ago
2004
IEEE
Autoassociator is an important issue in concept learning, and the learned concept of a particular class can be used to distinguish the class from the others. For nonlinear autoass...
ICPR
2006
IEEE
14 years 9 months ago
2006
IEEE
This paper presents a novel alternative approach, namely weakly supervised learning (WSL), to learn the pre-image of a feature vector in the feature space induced by a kernel. It ...
NIPS
2001
13 years 9 months ago
2001
The paper studies machine learning problems where each example is described using a set of Boolean features and where hypotheses are represented by linear threshold elements. One ...
ICML
2008
IEEE
14 years 8 months ago
2008
IEEE
A good distance measure for time series needs to properly incorporate the temporal structure, and should be applicable to sequences with unequal lengths. In this paper, we propose...
JMLR
2010
13 years 6 months ago
2010
Convolution kernels for trees provide simple means for learning with tree-structured data. The computation time of tree kernels is quadratic in the size of the trees, since all pa...