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IJAR
2010
130views more  IJAR 2010»
15 years 6 months ago
Learning locally minimax optimal Bayesian networks
We consider the problem of learning Bayesian network models in a non-informative setting, where the only available information is a set of observational data, and no background kn...
Tomi Silander, Teemu Roos, Petri Myllymäki
INFOCOM
2010
IEEE
15 years 6 months ago
INPAC: An Enforceable Incentive Scheme for Wireless Networks using Network Coding
—Wireless mesh networks have been widely deployed to provide broadband network access, and their performance can be significantly improved by using a new technology called netwo...
Tingting Chen, Sheng Zhong
INFOCOM
2010
IEEE
15 years 6 months ago
Compressive Sensing Based Positioning Using RSS of WLAN Access Points
Abstract— The sparse nature of location finding problem makes the theory of compressive sensing desirable for indoor positioning in Wireless Local Area Networks (WLANs). In this...
Chen Feng, Wain Sy Anthea Au, Shahrokh Valaee, Zhe...
INFOCOM
2010
IEEE
15 years 6 months ago
Practical Scheduling Algorithms for Concurrent Transmissions in Rate-adaptive Wireless Networks
—Optimal scheduling for concurrent transmissions in rate-nonadaptive wireless networks is NP-hard. Optimal scheduling in rate-adaptive wireless networks is even more difficult, ...
Zhe Yang, Lin Cai, Wu-sheng Lu
BICOB
2010
Springer
15 years 5 months ago
Multiple Kernel Learning for Fold Recognition
Fold recognition is a key problem in computational biology that involves classifying protein sharing structural similarities into classes commonly known as "folds". Rece...
Huzefa Rangwala