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» Knowledge Discovery from Transportation Network Data
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122
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ICML
2003
IEEE
16 years 4 months ago
Learning with Knowledge from Multiple Experts
The use of domain knowledge in a learner can greatly improve the models it produces. However, high-quality expert knowledge is very difficult to obtain. Traditionally, researchers...
Matthew Richardson, Pedro Domingos
117
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PIMRC
2008
IEEE
15 years 10 months ago
Overcoming radio link asymmetry in wireless sensor networks
— We derive two new energy efficient reliable data transport protocols for overcoming the negative impact of asymmetric radio links in wireless sensor networks. The energy effici...
Ren Ping Liu, Zvi Rosberg, Iain B. Collings, Carol...
151
Voted
RSCTC
1998
Springer
175views Fuzzy Logic» more  RSCTC 1998»
15 years 8 months ago
Business Process Understanding: Mining Many Datasets
Abstract. Institutional databases can be instrumental in understanding a business process, but additional data may broaden the empirical perspective on the investigated process. We...
Jan M. Zytkow, Arun P. Sanjeev
136
Voted
MOBIHOC
2001
ACM
16 years 3 months ago
Localized algorithms in wireless ad-hoc networks: location discovery and sensor exposure
The development of practical, localized algorithms is probably the most needed and most challenging task in wireless ad-hoc sensor networks (WASNs). Localized algorithms are a spe...
Seapahn Meguerdichian, Sasha Slijepcevic, Vahag Ka...
144
Voted
INFOCOM
2008
IEEE
15 years 10 months ago
HERO: Online Real-Time Vehicle Tracking in Shanghai
—Intelligent transportation systems have become increasingly important for the public transportation in Shanghai. In response, ShanghaiGrid (SG) aims to provide abundant intellig...
Hongzi Zhu, Yanmin Zhu, Minglu Li, Lionel M. Ni