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CORR
2010
Springer
167views Education» more  CORR 2010»
15 years 6 months ago
Network Flow Algorithms for Structured Sparsity
We consider a class of learning problems that involve a structured sparsityinducing norm defined as the sum of -norms over groups of variables. Whereas a lot of effort has been pu...
Julien Mairal, Rodolphe Jenatton, Guillaume Obozin...
COMCOM
2010
118views more  COMCOM 2010»
15 years 3 months ago
Mini-slot scheduling for IEEE 802.16d chain and grid mesh networks
This work considers the mini-slot scheduling problem in IEEE 802.16d wireless mesh networks (WMNs). An efficient mini-slot scheduling needs to take into account the transmission o...
Jia-Ming Liang, Ho-Cheng Wu, Jen-Jee Chen, Yu-Chee...
CORR
2010
Springer
149views Education» more  CORR 2010»
15 years 6 months ago
Using Rough Set and Support Vector Machine for Network Intrusion Detection
The main function of IDS (Intrusion Detection System) is to protect the system, analyze and predict the behaviors of users. Then these behaviors will be considered an attack or a ...
Rung Ching Chen, Kai-Fan Cheng, Chia-Fen Hsieh
CORR
2008
Springer
98views Education» more  CORR 2008»
15 years 6 months ago
Information Acquisition and Exploitation in Multichannel Wireless Networks
A wireless system with multiple channels is considered, where each channel has several transmission states. A user learns about the instantaneous state of an available channel by ...
Sudipto Guha, Kamesh Munagala, Saswati Sarkar
AAAI
2010
15 years 7 months ago
Efficient Lifting for Online Probabilistic Inference
Lifting can greatly reduce the cost of inference on firstorder probabilistic graphical models, but constructing the lifted network can itself be quite costly. In online applicatio...
Aniruddh Nath, Pedro Domingos