5463 search results - page 29 / 1093 » Evaluating algorithms that learn from data streams |
91
Voted
KDD
2007
ACM
15 years 10 months ago
2007
ACM
In many data mining applications, online labeling feedback is only available for examples which were predicted to belong to the positive class. Such applications include spam filt...
CIKM
2010
Springer
14 years 8 months ago
2010
Springer
This paper describes an algorithm for determining if an event occurs persistently within an interval where the interval is periodic but the event is not. The goal of the algorithm...
76
Voted
IJCV
2008
14 years 10 months ago
2008
We present a new data set encoding localized semantics for 1014 images and a methodology for using this kind of data for recognition evaluation. This methodology establishes protoc...
114
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IPPS
2005
IEEE
15 years 3 months ago
2005
IEEE
This paper describes a parallel algorithm for correlating or “fusing” streams of data from sensors and other sources of information. The algorithm is useful for applications w...
117
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ACML
2009
Springer
15 years 2 months ago
2009
Springer
A fundamental assumption for any machine learning task is to have training and test data instances drawn from the same distribution while having a sufficiently large number of tra...