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ICML
2010
IEEE
14 years 11 months ago
Online Learning for Group Lasso
We develop a novel online learning algorithm for the group lasso in order to efficiently find the important explanatory factors in a grouped manner. Different from traditional bat...
Haiqin Yang, Zenglin Xu, Irwin King, Michael R. Ly...
GLOBECOM
2008
IEEE
14 years 10 months ago
Power Efficient Throughput Maximization in Multi-Hop Wireless Networks
Abstract-- We study the problem of total throughput maximization in arbitrary multi-hop wireless networks, with constraints on the total power usage (denoted by PETM), when nodes h...
Deepti Chafekar, V. S. Anil Kumar, Madhav V. Marat...
AIEDAM
2007
90views more  AIEDAM 2007»
14 years 10 months ago
Assembly synthesis with subassembly partitioning for optimal in-process dimensional adjustability
Achieving the dimensional integrity for a complex structural assembly is a demanding task due to the manufacturing variations of parts and the tolerance relationship between them....
Byungwoo Lee, Kazuhiro Saitou
CII
2008
100views more  CII 2008»
14 years 10 months ago
Knowledge formalization in experience feedback processes: An ontology-based approach
Because of the current trend of integration and interoperability of industrial systems, their size and complexity continue to grow making it more difficult to analyze, to understa...
Bernard Kamsu Foguem, Thierry Coudert, C. Bé...
DATAMINE
2010
175views more  DATAMINE 2010»
14 years 10 months ago
Extracting influential nodes on a social network for information diffusion
We address the combinatorial optimization problem of finding the most influential nodes on a large-scale social network for two widely-used fundamental stochastic diffusion models...
Masahiro Kimura, Kazumi Saito, Ryohei Nakano, Hiro...