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2010
Tsinghua U.
15 years 9 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
15 years 6 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
ISPD
2009
ACM
141views Hardware» more  ISPD 2009»
15 years 6 months ago
A faster approximation scheme for timing driven minimum cost layer assignment
As VLSI technology moves to the 65nm node and beyond, interconnect delay greatly limits the circuit performance. As a critical component in interconnect synthesis, layer assignmen...
Shiyan Hu, Zhuo Li, Charles J. Alpert
SENSYS
2005
ACM
15 years 5 months ago
MAX: human-centric search of the physical world
MAX is a system that facilitates human-centric search of the physical world. It allows humans to search for and locate objects as and when they need it instead of organizing them ...
Kok-Kiong Yap, Vikram Srinivasan, Mehul Motani
SIGMOD
2005
ACM
174views Database» more  SIGMOD 2005»
15 years 5 months ago
Automated statistics collection in action
If presented with inaccurate statistics, even the most sophisticated query optimizers make mistakes. They may wrongly estimate the output cardinality of a certain operation and th...
Peter J. Haas, Mokhtar Kandil, Alberto Lerner, Vol...