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» Approximate Objects and Approximate Theories
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ESANN
2007
15 years 7 months ago
Model Selection for Kernel Probit Regression
Abstract. The convex optimisation problem involved in fitting a kernel probit regression (KPR) model can be solved efficiently via an iteratively re-weighted least-squares (IRWLS)...
Gavin C. Cawley
SIAMJO
2008
57views more  SIAMJO 2008»
15 years 6 months ago
Universal Confidence Sets for Solutions of Optimization Problems
We consider random approximations to deterministic optimization problems. The objective function and the constraint set can be approximated simultaneously. Relying on concentratio...
Silvia Vogel
RECOMB
2000
Springer
15 years 10 months ago
A compression algorithm for DNA sequences and its applications in genome comparison
We present a lossless compression algorithm, GenCompress, for genetic sequences, based on searching for approximate repeats. Our algorithm achieves the best compression ratios for...
Xin Chen, Sam Kwong, Ming Li
FOGA
2011
14 years 9 months ago
The logarithmic hypervolume indicator
It was recently proven that sets of points maximizing the hypervolume indicator do not give a good multiplicative approximation of the Pareto front. We introduce a new “logarith...
Tobias Friedrich, Karl Bringmann, Thomas Voß...
PRL
2007
99views more  PRL 2007»
15 years 5 months ago
Polygonal shape description for recognition of partially occluded objects
We introduce a new method for the recognition of partially occluded objects represented only by their contours. Object description, which stems from the inflection point detectio...
Filip Krolupper, Jan Flusser