522 search results - page 12 / 105 » Two-Stage Learning Kernel Algorithms |
ICML
2002
IEEE
14 years 8 months ago
2002
IEEE
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...
NIPS
2007
13 years 8 months ago
2007
To accelerate the training of kernel machines, we propose to map the input data to a randomized low-dimensional feature space and then apply existing fast linear methods. The feat...
NN
2006
Springer
13 years 7 months ago
2006
Springer
We introduce a new learning algorithm for topographic map formation of Edgeworth-expanded Gaussian activation kernels. In order to avoid the rapid increase in kernel parameters, a...
ECML
2006
Springer
13 years 11 months ago
2006
Springer
This paper presents a decoupled two stage solution to the multiple-instance learning (MIL) problem. With a constructed affinity matrix to reflect the instance relations, a modified...
NIPS
2001
13 years 8 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 ...