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» Making inferences with small numbers of training sets
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MOBIHOC
2002
ACM
15 years 11 months ago
Path set selection in mobile ad hoc networks
Topological changes in mobile ad hoc networks frequently render routing paths unusable. Such recurrent path failures have detrimental effects on the network ability to support QoS...
Emin Gün Sirer, Panagiotis Papadimitratos, Zy...
CIKM
2006
Springer
15 years 3 months ago
Evaluation by comparing result sets in context
Familiar evaluation methodologies for information retrieval (IR) are not well suited to the task of comparing systems in many real settings. These systems and evaluation methods m...
Paul Thomas, David Hawking
OSDI
2002
ACM
16 years 3 days ago
Vertigo: Automatic Performance-Setting for Linux
Combining high performance with low power consumption is becoming one of the primary objectives of processor designs. Instead of relying just on sleep mode for conserving power, a...
Krisztián Flautner, Trevor N. Mudge
IJCNN
2007
IEEE
15 years 6 months ago
Default ARTMAP 2
—Default ARTMAP combines winner-take-all category node activation during training, distributed activation during testing, and a set of default parameter values that define a read...
Gregory P. Amis, Gail A. Carpenter
ICPR
2004
IEEE
16 years 27 days ago
Selective Sampling Based on the Variation in Label Assignments
In this paper, a new selective sampling method for the active learning framework is presented. Initially, a small training set ? and a large unlabeled set ? are given. The goal is...
Piotr Juszczak, Robert P. W. Duin