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» Reformulating Constraint Models Using Input Data
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TMI
2008
138views more  TMI 2008»
14 years 9 months ago
Dynamic Positron Emission Tomography Data-Driven Analysis Using Sparse Bayesian Learning
A method is presented for the analysis of dynamic positron emission tomography (PET) data using sparse Bayesian learning. Parameters are estimated in a compartmental framework usin...
Jyh-Ying Peng, John A. D. Aston, R. N. Gunn, Cheng...
GEOINFO
2004
14 years 11 months ago
Uncertainty in Digital Elevation Data Used For Geophysical Flow Simulation
: Elevation information plays a crucial role in simulations of geophysical flows providing the slope and curvature information required to solve a series of differential equations....
Laércio Massaru Namikawa, Chris S. Renschle...
NIPS
2004
14 years 11 months ago
Maximum Margin Clustering
We propose a new method for clustering based on finding maximum margin hyperplanes through data. By reformulating the problem in terms of the implied equivalence relation matrix, ...
Linli Xu, James Neufeld, Bryce Larson, Dale Schuur...
ICDE
2008
IEEE
153views Database» more  ICDE 2008»
15 years 11 months ago
Mining Views: Database Views for Data Mining
We present a system towards the integration of data mining into relational databases. To this end, a relational database model is proposed, based on the so called virtual mining vi...
Élisa Fromont, Adriana Prado, Bart Goethals...
ICGI
2004
Springer
15 years 3 months ago
Partial Learning Using Link Grammars Data
Abstract. Kanazawa has shown that several non-trivial classes of categorial grammars are learnable in Gold’s model. We propose in this article to adapt this kind of symbolic lear...
Erwan Moreau