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» Model Based Importance Analysis for Minimal Cut Sets
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ICMLA
2009
13 years 5 months ago
Automatic Feature Selection for Model-Based Reinforcement Learning in Factored MDPs
Abstract--Feature selection is an important challenge in machine learning. Unfortunately, most methods for automating feature selection are designed for supervised learning tasks a...
Mark Kroon, Shimon Whiteson
ICCV
2005
IEEE
14 years 9 months ago
A Shape-Based Segmentation Approach: An Improved Technique Using Level Sets
We propose a novel approach for shape-based segmentation based on a specially designed level set function format. This format permits us to better control the process of object re...
Hossam E. Abd El Munim, Aly A. Farag
JMIV
2007
136views more  JMIV 2007»
13 years 7 months ago
Image Compression Through a Projection onto a Polyhedral Set
In image denoising, many researchers have tried for several years to combine wavelet-like approaches and optimization methods (typically based on the total variation minimization)...
François Malgouyres
SAC
2008
ACM
13 years 6 months ago
Test generation and minimization with "basic" statecharts
Model-based testing as a black-box testing technique has grown in importance. The models used represent the relevant features of the system under consideration (SUC), and can also...
Fevzi Belli, Axel Hollmann
GFKL
2006
Springer
133views Data Mining» more  GFKL 2006»
13 years 11 months ago
Adaptive Conjoint Analysis for Pricing Music Downloads
Finding the right pricing for music downloads is of ample importance to the recording industry and music download service providers. For the recently introduced music downloads, re...
Christoph Breidert, Michael Hahsler