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» Modelling Variation in Quality Attributes
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ICML
2002
IEEE
14 years 8 months ago
Pruning Improves Heuristic Search for Cost-Sensitive Learning
This paper addresses cost-sensitive classification in the setting where there are costs for measuring each attribute as well as costs for misclassification errors. We show how to ...
Valentina Bayer Zubek, Thomas G. Dietterich
RECOMB
2003
Springer
14 years 7 months ago
Physical network models and multi-source data integration
We develop a new framework for inferring models of transcriptional regulation. The models in this approach, which we call physical models, are constructed on the basis of verifiab...
Chen-Hsiang Yeang, Tommi Jaakkola
SAC
2008
ACM
13 years 6 months ago
Adaptive methods for sequential importance sampling with application to state space models
Abstract. In this paper we discuss new adaptive proposal strategies for sequential Monte Carlo algorithms--also known as particle filters--relying on new criteria evaluating the qu...
Julien Cornebise, Eric Moulines, Jimmy Olsson
ADIS
2001
13 years 8 months ago
A controlled experiment for corroborating the usefulness of class diagram metrics at the early phases of OO developments
The quality of class diagrams is critical because it has a great influence on the quality of the object oriented information system (OOIS) which are finally delivered. This fact mo...
Marcela Genero, José A. Olivas, Mario Piatt...
CVPR
2007
IEEE
14 years 9 months ago
Variable Bandwidth Image Denoising Using Image-based Noise Models
This paper introduces a variational formulation for image denoising based on a quadratic function over kernels of variable bandwidth. These kernels are scale adaptive and reflect ...
Noura Azzabou, Nikos Paragios, Frederic Guichard, ...