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BMCBI
2006
119views more  BMCBI 2006»
15 years 6 months ago
LS-NMF: A modified non-negative matrix factorization algorithm utilizing uncertainty estimates
Background: Non-negative matrix factorisation (NMF), a machine learning algorithm, has been applied to the analysis of microarray data. A key feature of NMF is the ability to iden...
Guoli Wang, Andrew V. Kossenkov, Michael F. Ochs
ECTEL
2007
Springer
16 years 11 days ago
The Everlasting Dawn of Educational Brokers - A Search for Key Design Principles
In the last couple of years we have evidenced several initiatives promoting the vision of open educational systems. Educational brokers are supposed to take advantage of this ‘in...
Bernd Simon, Petra Oberhumer, Robert Kristöfl
ECML
2005
Springer
15 years 11 months ago
Mode Directed Path Finding
Abstract. Learning from multi-relational domains has gained increasing attention over the past few years. Inductive logic programming (ILP) systems, which often rely on hill-climbi...
Irene M. Ong, Inês de Castro Dutra, David Pa...
UAI
2003
15 years 7 months ago
On the Convergence of Bound Optimization Algorithms
Many practitioners who use EM and related algorithms complain that they are sometimes slow. When does this happen, and what can be done about it? In this paper, we study the gener...
Ruslan Salakhutdinov, Sam T. Roweis, Zoubin Ghahra...
CVPR
2009
IEEE
17 years 1 months ago
Localized Content-Based Image Retrieval Through Evidence Region Identification
Over the past decade, multiple-instance learning (MIL) has been successfully utilized to model the localized content-based image retrieval (CBIR) problem, in which a bag corresp...
Wu-Jun Li (Hong Kong University of Science and Tec...