1769 search results - page 15 / 354 » Prediction on Spike Data Using Kernel Algorithms |
ISNN
2009
Springer
14 years 2 months ago
2009
Springer
Abstract. Nonlinear component analysis is a popular nonlinear feature extraction method. It generally uses eigen-decomposition technique to extract the principal components. But th...
ATAL
2007
Springer
13 years 11 months ago
2007
Springer
Models of agent-environment interaction that use predictive state representations (PSRs) have mainly focused on the case of discrete observations and actions. The theory of discre...
FLAIRS
2004
13 years 9 months ago
2004
One important feature of the gene expression data is that the number of genes M far exceeds the number of samples N. Standard statistical methods do not work well when N < M. D...
KDD
2008
ACM
14 years 8 months ago
2008
ACM
Kernel methods have been applied successfully in many data mining tasks. Subspace kernel learning was recently proposed to discover an effective low-dimensional subspace of a kern...
SIGIR
2010
ACM
13 years 11 months ago
2010
ACM
We propose a method to predict a user’s favourite locations in a city, based on his Flickr geotags in other cities. We define a similarity between the geotag distributions of t...