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ICML
2010
IEEE
13 years 9 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...
ECRA
2010
145views more  ECRA 2010»
13 years 8 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»
13 years 8 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»
13 years 8 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»
13 years 8 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