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DATAMINE
2006
230views more  DATAMINE 2006»
15 years 6 months ago
Mining top-K frequent itemsets from data streams
Frequent pattern mining on data streams is of interest recently. However, it is not easy for users to determine a proper frequency threshold. It is more reasonable to ask users to ...
Raymond Chi-Wing Wong, Ada Wai-Chee Fu
JMLR
2006
99views more  JMLR 2006»
15 years 6 months ago
Worst-Case Analysis of Selective Sampling for Linear Classification
A selective sampling algorithm is a learning algorithm for classification that, based on the past observed data, decides whether to ask the label of each new instance to be classi...
Nicolò Cesa-Bianchi, Claudio Gentile, Luca ...
PUC
2006
89views more  PUC 2006»
15 years 6 months ago
UbiqStack: a taxonomy for a ubiquitous computing software stack
This paper describes a taxonomy for a ubiquitous computing software stack called UbiqStack. Through the lens of the UbiqStack taxonomy we survey a variety of subsystems designed to...
Martin Modahl, Bikash Agarwalla, T. Scott Saponas,...
IJVR
2007
100views more  IJVR 2007»
15 years 6 months ago
The Impact of Social Interaction on Usability for Distributed Virtual Environments
—Distance collaboration has long been a research area for distributed Virtual Environments (VEs). In these environments people interact with the technology and each other in a co...
Ilona Heldal
ANOR
2005
93views more  ANOR 2005»
15 years 6 months ago
Looking Ahead with the Pilot Method
The pilot method as a meta-heuristic is a tempered greedy method aimed at obtaining better solutions while avoiding the greedy trap by looking ahead for each possible choice. Repea...
Stefan Voß, Andreas Fink, Cees Duin