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JMLR
2006
103views more  JMLR 2006»
13 years 7 months ago
On Model Selection Consistency of Lasso
Sparsity or parsimony of statistical models is crucial for their proper interpretations, as in sciences and social sciences. Model selection is a commonly used method to find such...
Peng Zhao, Bin Yu
MP
2006
107views more  MP 2006»
13 years 7 months ago
Convergence theory for nonconvex stochastic programming with an application to mixed logit
Monte Carlo methods have been used extensively in the area of stochastic programming. As with other methods that involve a level of uncertainty, theoretical properties are required...
Fabian Bastin, Cinzia Cirillo, Philippe L. Toint
PE
2008
Springer
89views Optimization» more  PE 2008»
13 years 7 months ago
Merging and splitting autocorrelated arrival processes and impact on queueing performance
We have proposed a three-parameter renewal approximation to analyze splitting and superposition of autocorrelated processes. We define the index of dispersion for counts of an ord...
Baris Balcioglu, David L. Jagerman, Tayfur Altiok
SIAMSC
2008
113views more  SIAMSC 2008»
13 years 7 months ago
Limited Data X-Ray Tomography Using Nonlinear Evolution Equations
A novel approach to the X-ray tomography problem with sparse projection data is proposed. Non-negativity of the X-ray attenuation coefficient is enforced by modelling it as max{(x)...
Ville Kolehmainen, Matti Lassas, Samuli Siltanen
IJCV
2007
145views more  IJCV 2007»
13 years 7 months ago
Building Outline Extraction from Digital Elevation Models Using Marked Point Processes
— This work presents an automatic algorithm for extracting vectorial land registers from altimetric data in dense urban areas. We focus on elementary shape extraction and propose...
Mathias Ortner, Xavier Descombes, Josiane Zerubia