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» Superset Learning Based on Generalized Loss Minimization
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CN
2007
129views more  CN 2007»
14 years 10 months ago
Machine-learnt versus analytical models of TCP throughput
We first study the accuracy of two well-known analytical models of the average throughput of long-term TCP flows, namely the so-called SQRT and PFTK models, and show that these ...
Ibtissam El Khayat, Pierre Geurts, Guy Leduc
PKDD
2009
Springer
184views Data Mining» more  PKDD 2009»
15 years 2 months ago
Boosting Active Learning to Optimality: A Tractable Monte-Carlo, Billiard-Based Algorithm
Abstract. This paper focuses on Active Learning with a limited number of queries; in application domains such as Numerical Engineering, the size of the training set might be limite...
Philippe Rolet, Michèle Sebag, Olivier Teyt...
ICDE
2008
IEEE
178views Database» more  ICDE 2008»
15 years 11 months ago
On the Optimal Selection of k in the k-Anonymity Problem
When disseminating data involving human subjects, researchers have to weigh in the requirements of privacy of the individuals involved in the data. A model widely used for enhancin...
Rinku Dewri, Indrajit Ray, Indrakshi Ray, Darrell ...
DAC
2006
ACM
15 years 11 months ago
Extending the lifetime of fuel cell based hybrid systems
Fuel cells are clean power sources that have much higher energy densities and lifetimes compared to batteries. However, fuel cells have limited load following capabilities and can...
Jianli Zhuo, Chaitali Chakrabarti, Naehyuck Chang,...
ICASSP
2008
IEEE
15 years 4 months ago
Learning to satisfy
This paper investigates a class of learning problems called learning satisfiability (LSAT) problems, where the goal is to learn a set in the input (feature) space that satisfies...
Frederic Thouin, Mark Coates, Brian Eriksson, Robe...