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PAKDD
2010
ACM
212views Data Mining» more  PAKDD 2010»
15 years 9 months ago
Fast Perceptron Decision Tree Learning from Evolving Data Streams
Abstract. Mining of data streams must balance three evaluation dimensions: accuracy, time and memory. Excellent accuracy on data streams has been obtained with Naive Bayes Hoeffdi...
Albert Bifet, Geoffrey Holmes, Bernhard Pfahringer...
CDC
2009
IEEE
108views Control Systems» more  CDC 2009»
15 years 9 months ago
The parabigeminal nucleus as a recursive estimator
— The parabigeminal nucleus (PBN) is known to estimate the retinal position error (RPE) of an intended target. Recently it has been discovered that PBN activity continues to enco...
Rui Ma, Todd P. Coleman, Joseph G. Malpeli
CEC
2009
IEEE
15 years 9 months ago
Overcoming the bootstrap problem in evolutionary robotics using behavioral diversity
— The bootstrap problem is often recognized as one of the main challenges of evolutionary robotics: if all individuals from the first randomly generated population perform equal...
Jean-Baptiste Mouret, Stéphane Doncieux
CASES
2009
ACM
15 years 9 months ago
Complete nanowire crossbar framework optimized for the multi-spacer patterning technique
Nanowire crossbar circuits are an emerging architectural paradigm that promises a higher integration density and an improved fault-tolerance due to its reconfigurability. In this...
M. Haykel Ben Jamaa, Gianfranco Cerofolini, Yusuf ...
157
Voted
ACML
2009
Springer
15 years 9 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...
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