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» The Bias Problem and Language Models in Adaptive Filtering
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IR
2006
13 years 9 months ago
A study of mixture models for collaborative filtering
Collaborative filtering is a general technique for exploiting the preference patterns of a group of users to predict the utility of items for a particular user. Three different co...
Rong Jin, Luo Si, Chengxiang Zhai
WEBI
2007
Springer
14 years 3 months ago
PSSF: A Novel Statistical Approach for Personalized Service-side Spam Filtering
The volume of spam e-mails has grown rapidly in the last two years resulting in increasing costs to users, network operators, and e-mail service providers (ESPs). E-mail users dem...
Khurum Nazir Junejo, Asim Karim
ICASSP
2009
IEEE
14 years 3 months ago
Data-driven online variational filtering in wireless sensor networks
In this paper, a data-driven extension of the variational algorithm is proposed. Based on a few selected sensors, target tracking is performed distributively without any informati...
Hichem Snoussi, Jean-Yves Tourneret, Petar M. Djur...
IJAR
2006
91views more  IJAR 2006»
13 years 9 months ago
Sequential influence diagrams: A unified asymmetry framework
We describe a new graphical language for specifying asymmetric decision problems. The language is based on a filtered merge of several existing languages including sequential valu...
Finn Verner Jensen, Thomas D. Nielsen, Prakash P. ...
IDMS
1997
Springer
188views Multimedia» more  IDMS 1997»
14 years 16 days ago
An Approach for an Adaptive Visualization in a Mobile Environment
With the evolving availability of wireless communication servicesand of affordable mobile devices such as notebooks or Personal Digital Assistants, mobile computing is becoming wid...
Luc Neumann, Alberto Barbosa Raposo