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» A Boosting Algorithm for Regression
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89
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CSDA
2008
65views more  CSDA 2008»
15 years 3 months ago
Improving updating rules in multiplicative algorithms for computing D-optimal designs
In this paper we discuss a class of multiplicative algorithms for computing D-optimal designs for regression models on a finite design space. We prove a monotonicity result for a ...
Holger Dette, Andrey Pepelyshev, Anatoly A. Zhiglj...
120
Voted
ICML
2008
IEEE
16 years 4 months ago
An empirical evaluation of supervised learning in high dimensions
In this paper we perform an empirical evaluation of supervised learning on highdimensional data. We evaluate performance on three metrics: accuracy, AUC, and squared loss and stud...
Rich Caruana, Nikolaos Karampatziakis, Ainur Yesse...
ICA
2004
Springer
15 years 9 months ago
Blind Source Separation Using the Block-Coordinate Relative Newton Method
Presented here is a generalization of the modified relative Newton method, recently proposed in [1] for quasi-maximum likelihood blind source separation. Special structure of the ...
Alexander M. Bronstein, Michael M. Bronstein, Mich...
IPPS
2002
IEEE
15 years 8 months ago
Concept-Based Component Libraries and Optimizing Compilers
This paper discusses concept lattices and some of their applications in component library development and compiler optimizations. Ongoing work on concept-based userextensible simp...
Sibylle Schupp, D. P. Gregor, B. Osman, David R. M...
ICIP
2010
IEEE
15 years 1 months ago
Generalized YUV interpolation of CFA images
This paper presents a simple yet effective color filter array (CFA) interpolation algorithm. It is based on a linear interpolating kernel, but operates on YUV space, which results...
Meng Wang, Thierry Blu