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HIS
2008
14 years 11 months ago
Artificial Data Sets Based on Knowledge Generators: Analysis of Learning Algorithms Efficiency
This paper proposes a methodology to generate artificial data sets to evaluate the behavior of machine learning techniques. The methodology relies in the definition of a domain an...
Joaquin Rios-Boutin, Albert Orriols-Puig, Josep Ma...
ESA
2007
Springer
89views Algorithms» more  ESA 2007»
15 years 4 months ago
Bundle Pricing with Comparable Items
We consider a revenue maximization problem where we are selling a set of comparable items, each available in a certain quantity (possibly unlimited) to a set of bidders. Each bidde...
Alexander Grigoriev, Joyce van Loon, Maxim Sviride...
JC
2008
128views more  JC 2008»
14 years 9 months ago
Lattice rule algorithms for multivariate approximation in the average case setting
We study multivariate approximation for continuous functions in the average case setting. The space of d variate continuous functions is equipped with the zero mean Gaussian measu...
Frances Y. Kuo, Ian H. Sloan, Henryk Wozniakowski
WAE
2001
222views Algorithms» more  WAE 2001»
14 years 11 months ago
An Experimental Study of Data Migration Algorithms
The data migration problem is the problem of computing a plan for moving data objects stored on devices in a network from one configuration to another. Load balancing or changing u...
Eric J. Anderson, Joseph Hall, Jason D. Hartline, ...
TMI
2010
217views more  TMI 2010»
14 years 4 months ago
A Generative Model for Image Segmentation Based on Label Fusion
We propose a nonparametric, probabilistic model for the automatic segmentation of medical images, given a training set of images and corresponding label maps. The resulting inferen...
Mert R. Sabuncu, B. T. Thomas Yeo, Koenraad Van Le...