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ICML
2010
IEEE
15 years 27 days 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...
ECRA
2010
145views more  ECRA 2010»
14 years 12 months ago
Inferring preference correlations from social networks
Identifying consumer preferences is a key challenge in customizing electronic commerce sites to individual users. The increasing availability of online social networks provides on...
Tad Hogg
AMC
2006
100views more  AMC 2006»
14 years 12 months ago
Reliability evaluation of multi-component cold-standby redundant systems
A new methodology for the reliability evaluation of an l-dissimilar-unit non-repairable cold-standby redundant system is introduced in this paper. Each unit is composed of a numbe...
Amir Azaron, Hideki Katagiri, Kosuke Kato, Masatos...
CORR
2006
Springer
85views Education» more  CORR 2006»
14 years 12 months ago
Discovering Network Topology in the Presence of Byzantine Faults
We pose and study the problem of Byzantine-robust topology discovery in an arbitrary asynchronous network. The problem straction of fault-tolerant routing. We formally state the we...
Mikhail Nesterenko, Sébastien Tixeuil
ENTCS
2006
137views more  ENTCS 2006»
14 years 11 months ago
Coalgebraic Description of Generalized Binary Methods
We extend the Reichel-Jacobs coalgebraic account of specification and refinement of objects and classes in Object Oriented Programming to (generalized) binary methods. These are m...
Furio Honsell, Marina Lenisa, Rekha Redamalla