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» Asymptotically Optimal Model Estimation for Quantization
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ICMLA
2007
13 years 9 months ago
Bias-variance tradeoff in hybrid generative-discriminative models
Given any generative classifier based on an inexact density model, we can define a discriminative counterpart that reduces its asymptotic error rate, while increasing the estima...
Guillaume Bouchard
PRDC
2000
IEEE
13 years 11 months ago
Statistical non-parametric algorithms to estimate the optimal software rejuvenation schedule
In this paper, we extend the classical result by Huang, Kintala, Kolettis and Fulton (1995), and in addition propose a modified stochastic model to determine the software rejuvena...
Tadashi Dohi, Katerina Goseva-Popstojanova, Kishor...
WSC
2007
13 years 9 months ago
New greedy myopic and existing asymptotic sequential selection procedures: preliminary empirical results
Statistical selection procedures can identify the best of a finite set of alternatives, where “best” is defined in terms of the unknown expected value of each alternative’...
Stephen E. Chick, Jürgen Branke, Christian Sc...
ICC
2007
IEEE
197views Communications» more  ICC 2007»
14 years 1 months ago
A Distributed Scheduling Algorithm for Multiuser MIMO Systems with 1-bit SINR Feedback
—Opportunistic scheduling in random beamforming maximizes the sum-rate by allocating resources to the users with the best channel condition, thus leveraging on multiuser diversit...
Stefano Sorrentino, Umberto Spagnolini, Lino Moret...
ISCI
2007
115views more  ISCI 2007»
13 years 7 months ago
Compressed histograms with arbitrary bucket layouts for selectivity estimation
Selectivity estimation is an important step of query optimization in a database management system, and multidimensional histogram techniques have proved promising for selectivity ...
Dennis Fuchs, Zhen He, Byung Suk Lee