4 search results - page 1 / 1 » The matrix stick-breaking process for flexible multi-task le... |
TSP
2008
13 years 3 months ago
2008
A new hierarchical nonparametric Bayesian framework is proposed for the problem of multi-task learning (MTL) with sequential data. The models for multiple tasks, each characterize...
ICML
2007
IEEE
14 years 5 months ago
2007
IEEE
In multi-task learning our goal is to design regression or classification models for each of the tasks and appropriately share information between tasks. A Dirichlet process (DP) ...
BMCBI
2010
13 years 4 months ago
2010
Background: Nonnegative Matrix Factorization (NMF) is an unsupervised learning technique that has been applied successfully in several fields, including signal processing, face re...
ICPPW
2002
IEEE
13 years 9 months ago
2002
IEEE
generally meta-data, so that documents on any specific subject can be transparently retrieved. While quality control can in principle still rely on the traditional methods of peer-...