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UAI
2003
13 years 11 months ago
Learning Generative Models of Similarity Matrices
Recently, spectral clustering (a.k.a. normalized graph cut) techniques have become popular for their potential ability at finding irregularlyshaped clusters in data. The input to...
Rómer Rosales, Brendan J. Frey
SCFBM
2008
119views more  SCFBM 2008»
13 years 9 months ago
Boolean network simulations for life scientists
Modern life sciences research increasingly relies on computational solutions, from large scale data analyses to theoretical modeling. Within the theoretical models Boolean network...
István Albert, Juilee Thakar, Song Li, Ranr...
SEMWEB
2009
Springer
14 years 4 months ago
Towards a Graphical Notation for OWL 2
The Ontology Definition Metamodel (ODM) defines a set of UML metamodels and profiles for development of RDF and OWL. The UML profiles in the ODM specification adapt UML notations t...
Elisa F. Kendall, Roy Bell, Roger Burkhart, Mark D...
IPM
2007
145views more  IPM 2007»
13 years 10 months ago
Text mining techniques for patent analysis
Patent documents contain important research results. However, they are lengthy and rich in technical terminology such that it takes a lot of human efforts for analyses. Automatic...
Yuen-Hsien Tseng, Chi-Jen Lin, Yu-I Lin
CVPR
2009
IEEE
15 years 5 months ago
Unsupervised Maximum Margin Feature Selection with Manifold Regularization
Feature selection plays a fundamental role in many pattern recognition problems. However, most efforts have been focused on the supervised scenario, while unsupervised feature s...
Bin Zhao, James Tin-Yau Kwok, Fei Wang, Changshui ...