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ICML
2003
IEEE
14 years 9 months ago
Semi-Supervised Learning Using Gaussian Fields and Harmonic Functions
An approach to semi-supervised learning is proposed that is based on a Gaussian random field model. Labeled and unlabeled data are represented as vertices in a weighted graph, wit...
Xiaojin Zhu, Zoubin Ghahramani, John D. Lafferty
ISMB
2003
13 years 10 months ago
Deriving phylogenetic trees from the similarity analysis of metabolic pathways
Comparative analysis of metabolic pathways in different genomes can give insights into the understanding of evolutionary and organizational relationships among species. This type ...
Maureen Heymans, Ambuj K. Singh
RE
2002
Springer
13 years 8 months ago
AGORA: Attributed Goal-Oriented Requirements Analysis Method
This paper presents an extended version of GoalOriented Requirements Analysis Method called AGORA, where attribute values, e.g. contribution values and preference matrices, are ad...
Haruhiko Kaiya, Hisayuki Horai, Motoshi Saeki
BIOINFORMATICS
2008
172views more  BIOINFORMATICS 2008»
13 years 8 months ago
Fitting a geometric graph to a protein-protein interaction network
Motivation: Finding a good network null model for protein-protein interaction (PPI) networks is a fundamental issue. Such a model would provide insights into the interplay between...
Desmond J. Higham, Marija Rasajski, Natasa Przulj
SIAMSC
2010
142views more  SIAMSC 2010»
13 years 3 months ago
Hypergraph-Based Unsymmetric Nested Dissection Ordering for Sparse LU Factorization
In this paper we present HUND, a hypergraph-based unsymmetric nested dissection ordering algorithm for reducing the fill-in incurred during Gaussian elimination. HUND has several i...
Laura Grigori, Erik G. Boman, Simplice Donfack, Ti...