504 search results - page 67 / 101 » Clustering Item Data Sets with Association-Taxonomy Similari... |
TSP
2008
13 years 5 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...
AIIA
2009
Springer
14 years 2 months ago
2009
Springer
Abstract. The huge volume of gene expression data produced by microarrays and other high-throughput techniques has encouraged the development of new computational techniques to eva...
IJHPCA
2006
13 years 7 months ago
2006
In this paper, we consider the communications involved in the execution of a complex application, deployed on a heterogeneous platform. Such applications extensively use macro-com...
ICDM
2009
IEEE
13 years 5 months ago
2009
IEEE
Multi-task learning refers to the learning problem of performing inference by jointly considering multiple related tasks. There have already been many research efforts on supervise...
ICDE
2006
IEEE
14 years 8 months ago
2006
IEEE
In this paper, we propose a new model for coherent clustering of gene expression data called reg-cluster. The proposed model allows (1) the expression profiles of genes in a clust...