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» When Semi-supervised Learning Meets Ensemble Learning
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ACML
2009
Springer
14 years 3 days 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...
PPL
2008
75views more  PPL 2008»
13 years 7 months ago
Modeling the Performance of Communication Schemes on Network Topologies
This paper investigates the influence of the interconnection network topology of a parallel system on the delivery time of an ensemble of messages, called the communication scheme...
Jan Lemeire, Erik F. Dirkx, Walter Colitti
TLT
2008
90views more  TLT 2008»
13 years 7 months ago
Group Scribbles to Support Knowledge Building in Jigsaw Method
The jigsaw method empowers students to build their own knowledge through successive engagement through interactions in original group discussions and in expert group discussions. H...
Chee-Kit Looi, Chiu-Pin Lin, Kuo-Ping Liu
21
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AAAI
2007
13 years 9 months ago
On the Prospects for Building a Working Model of the Visual Cortex
Human visual capability has remained largely beyond the reach of engineered systems despite intensive study and considerable progress in problem understanding, algorithms and comp...
Thomas Dean, Glenn Carroll, Richard Washington
ICCV
2009
IEEE
1419views Computer Vision» more  ICCV 2009»
15 years 13 days ago
On Feature Combination for Multiclass Object Classification
A key ingredient in the design of visual object classification systems is the identification of relevant class specific aspects while being robust to intra-class variations. Whil...
Peter Gehler, Sebastian Nowozin