1769 search results - page 9 / 354 » Prediction on Spike Data Using Kernel Algorithms |
PAKDD
2007
ACM
14 years 1 months ago
2007
ACM
This work presents a kernel method for clustering the nodes of a weighted, undirected, graph. The algorithm is based on a two-step procedure. First, the sigmoid commute-time kernel...
JMLR
2008
13 years 7 months ago
2008
Support vector machine (SVM) is one of the most popular and promising classification algorithms. After a classification rule is constructed via the SVM, it is essential to evaluat...
NIPS
2007
13 years 9 months ago
2007
We show how to use unlabeled data and a deep belief net (DBN) to learn a good covariance kernel for a Gaussian process. We first learn a deep generative model of the unlabeled da...
ISCAS
2003
IEEE
14 years 28 days ago
2003
IEEE
Temporally-asymmetric Hebbian learning is a class of algorithms motivated by data from recent neurophysiology experiments. While traditional Hebbian learning rules use mean firin...
BMCBI
2006
13 years 7 months ago
2006
Background: Modelling the interaction between potentially antigenic peptides and Major Histocompatibility Complex (MHC) molecules is a key step in identifying potential T-cell epi...