1769 search results - page 16 / 354 » Prediction on Spike Data Using Kernel Algorithms |
PKDD
2010
Springer
14 years 8 months ago
2010
Springer
In this paper we propose a Bayesian model for multi-task feature selection. This model is based on a generalized spike and slab sparse prior distribution that enforces the selectio...
JMLR
2010
14 years 4 months ago
2010
Appropriate selection of the kernel function, which implicitly defines the feature space of an algorithm, has a crucial role in the success of kernel methods. In this paper, we co...
88
Voted
IJCNN
2000
IEEE
15 years 1 months ago
2000
IEEE
For unsupervised clustering in a network of spiking neurons we develop a temporal encoding of continuously valued data to obtain arbitrary clustering capacity and precision with a...
ICIP
2008
IEEE
15 years 4 months ago
2008
IEEE
In this paper, we extend a (2-D) data-adaptive steering kernel regression framework for image processing to a (3-D) spatio-temporal framework for processing video. In particular, ...
ALT
2007
Springer
15 years 6 months ago
2007
Springer
In this paper, we address the issue of learning nonlinearly separable concepts with a kernel classifier in the situation where the data at hand are altered by a uniform classific...