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» A Theory for Memory-Based Learning
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ETS
2000
IEEE
135views Hardware» more  ETS 2000»
15 years 4 months ago
Results of a telecollaborative activity involving geographically disparate preservice teachers
This article discusses a telecollaborative activity that combines many strategies of interest in teacher education (i.e., case-based learning, online discussion, cross-university ...
Kara M. Dawson, Cheryl L. Mason, Philip Molebash
ICCV
2009
IEEE
15 years 2 months ago
Kernel map compression using generalized radial basis functions
The use of Mercer kernel methods in statistical learning theory provides for strong learning capabilities, as seen in kernel principal component analysis and support vector machin...
Omar Arif, Patricio A. Vela
115
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OKCON
2011
39views more  OKCON 2011»
14 years 7 months ago
Paragogy
This paper describes a new theory of peer-to-peer learning and teaching that we call paragogy. Paragogy's principles were developed by adapting the Knowles's principles...
Joseph Corneli, Charles Jeffrey Danoff
ECAL
2005
Springer
15 years 10 months ago
The Quantitative Law of Effect is a Robust Emergent Property of an Evolutionary Algorithm for Reinforcement Learning
An evolutionary reinforcement-learning algorithm, the operation of which was not associated with an optimality condition, was instantiated in an artificial organism. The algorithm ...
J. J. McDowell, Zahra Ansari
ECCV
2002
Springer
16 years 6 months ago
A Tale of Two Classifiers: SNoW vs. SVM in Visual Recognition
Numerous statistical learning methods have been developed for visual recognition tasks. Few attempts, however, have been made to address theoretical issues, and in particular, stud...
Ming-Hsuan Yang, Dan Roth, Narendra Ahuja