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IJCAI
1989
13 years 10 months ago
Noise-Tolerant Instance-Based Learning Algorithms
Several published reports show that instancebased learning algorithms yield high classification accuracies and have low storage requirements during supervised learning application...
David W. Aha, Dennis F. Kibler
ICANN
2009
Springer
14 years 4 months ago
Adaptive Ensemble Models of Extreme Learning Machines for Time Series Prediction
Abstract. In this paper, we investigate the application of adaptive ensemble models of Extreme Learning Machines (ELMs) to the problem of one-step ahead prediction in (non)stationa...
Mark van Heeswijk, Yoan Miche, Tiina Lindh-Knuutil...
KES
2005
Springer
14 years 3 months ago
Using Relevance Feedback to Learn Both the Distance Measure and the Query in Multimedia Databases
Much of the world’s data is in the form of time series, and many other types of data, such as video, image, and handwriting, can easily be transformed into time series. This fact...
Chotirat (Ann) Ratanamahatana, Eamonn J. Keogh
ICGI
2004
Springer
14 years 3 months ago
The Omphalos Context-Free Grammar Learning Competition
This paper describes the Omphalos Context-Free Grammar Learning Competition held as part of the International Colloquium on Grammatical Inference 2004. The competition was created ...
Bradford Starkie, François Coste, Menno van...
IFIP
1997
Springer
14 years 1 months ago
Representing a body of knowledge for teaching, learning and assessment
: National and international standards for professional groups may become a dominant and governing force as internet-based professional training becomes universally accepted. Educa...
Don Sheridan, David White