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ICS
2010
Tsinghua U.
14 years 5 months ago
Distribution-Specific Agnostic Boosting
We consider the problem of boosting the accuracy of weak learning algorithms in the agnostic learning framework of Haussler (1992) and Kearns et al. (1992). Known algorithms for t...
Vitaly Feldman
IPSN
2010
Springer
14 years 2 months ago
Online distributed sensor selection
A key problem in sensor networks is to decide which sensors to query when, in order to obtain the most useful information (e.g., for performing accurate prediction), subject to co...
Daniel Golovin, Matthew Faulkner, Andreas Krause
MOBICOM
2004
ACM
14 years 1 months ago
Revisiting the TTL-based controlled flooding search: optimality and randomization
In this paper we consider the problem of searching for a node or an object (i.e., piece of data, file, etc.) in a large network. Applications of this problem include searching fo...
Nicholas B. Chang, Mingyan Liu
ML
2007
ACM
108views Machine Learning» more  ML 2007»
13 years 7 months ago
Unconditional lower bounds for learning intersections of halfspaces
We prove new lower bounds for learning intersections of halfspaces, one of the most important concept classes in computational learning theory. Our main result is that any statist...
Adam R. Klivans, Alexander A. Sherstov
ICDE
2010
IEEE
249views Database» more  ICDE 2010»
14 years 2 months ago
PARINET: A tunable access method for in-network trajectories
— In this paper we propose PARINET, a new access method to efficiently retrieve the trajectories of objects moving in networks. The structure of PARINET is based on a combination...
Iulian Sandu Popa, Karine Zeitouni, Vincent Oria, ...