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» Adaptive Learning from Evolving Data Streams
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118
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COGSCI
2010
103views more  COGSCI 2010»
15 years 3 months ago
From Perceptual Categories to Concepts: What Develops?
People are remarkably smart: They use language, possess complex motor skills, make nontrivial inferences, develop and use scientific theories, make laws, and adapt to complex dyna...
Vladimir M. Sloutsky
140
Voted
KDD
2007
ACM
178views Data Mining» more  KDD 2007»
16 years 4 months ago
Practical learning from one-sided feedback
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...
D. Sculley
142
Voted
WEBI
2007
Springer
15 years 9 months ago
Growing Hierarchical Self-Organizing Maps for Web Mining
— Many information retrieval and machine learning methods have not evolved in order to be applied to the Web. Two main problems in applying some machine learning techniques for W...
Joseph P. Herbert, Jingtao Yao
129
Voted
GECCO
2006
Springer
147views Optimization» more  GECCO 2006»
15 years 7 months ago
Evolving a real-world vehicle warning system
Many serious automobile accidents could be avoided if drivers were warned of impending crashes before they occur. Creating such warning systems by hand, however, is a difficult an...
Nate Kohl, Kenneth O. Stanley, Risto Miikkulainen,...
166
Voted
ML
2010
ACM
142views Machine Learning» more  ML 2010»
15 years 2 months ago
Fast adaptive algorithms for abrupt change detection
We propose two fast algorithms for abrupt change detection in streaming data that can operate on arbitrary unknown data distributions before and after the change. The first algor...
Daniel Nikovski, Ankur Jain