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» Evaluating algorithms that learn from data streams
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ACML
2009
Springer
15 years 2 months ago
Improving Adaptive Bagging Methods for Evolving Data Streams
We propose two new improvements for bagging methods on evolving data streams. Recently, two new variants of Bagging were proposed: ADWIN Bagging and Adaptive-Size Hoeffding Tree (...
Albert Bifet, Geoffrey Holmes, Bernhard Pfahringer...
SAC
2005
ACM
15 years 3 months ago
Incremental rule learning based on example nearness from numerical data streams
Francisco J. Ferrer-Troyano, Jesús S. Aguil...
IDA
2009
Springer
14 years 7 months ago
Adaptive Learning from Evolving Data Streams
Albert Bifet, Ricard Gavaldà
SIGMOD
2005
ACM
220views Database» more  SIGMOD 2005»
15 years 10 months ago
Sampling Algorithms in a Stream Operator
Complex queries over high speed data streams often need to rely on approximations to keep up with their input. The research community has developed a rich literature on approximat...
Theodore Johnson, S. Muthukrishnan, Irina Rozenbau...
AVSS
2008
IEEE
15 years 3 days ago
Evaluation of Background Subtraction Algorithms with Post-Processing
Processing a video stream to segment foreground objects from the background is a critical first step in many computer vision applications. Background subtraction (BGS) is a common...
Donovan H. Parks, Sidney Fels