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» A Theory for Memory-Based Learning
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ICML
2003
IEEE
16 years 7 months ago
Optimization with EM and Expectation-Conjugate-Gradient
We show a close relationship between the Expectation - Maximization (EM) algorithm and direct optimization algorithms such as gradientbased methods for parameter learning. We iden...
Ruslan Salakhutdinov, Sam T. Roweis, Zoubin Ghahra...
CHI
2007
ACM
16 years 6 months ago
Designing tangibles for children: what designers need to know
New forms of tangible and spatial child computer interaction and supporting technologies can be designed to leverage the way children develop intelligence in the world. In order t...
Alissa Nicole Antle
CSEE
2009
Springer
16 years 26 days ago
An Evaluation of Using a Game Development Framework in Higher Education
This paper describes an application of a Game Development Framework (GDF) Microsoft XNA in software architecture (SA) course at Norwegian University of Science and Technology (NTN...
Bian Wu, Alf Inge Wang, Jan-Erik Strøm, Tro...
ICC
2007
IEEE
120views Communications» more  ICC 2007»
16 years 18 days ago
Dynamic Network Selection using Kernels
—We present a new algorithm for vertical handover and dynamic network selection, based on a combination of multiattribute utility theory, kernel learning and stochastic gradient ...
Eric van den Berg, Praveen Gopalakrishnan, Byungsu...
AIED
2007
Springer
16 years 14 days ago
Fitting Spatial Ability into Intelligent Tutoring Systems Development
Building effective learning environments is an art that can only be perfected by a great deal of explorations involving the environments’ audience: the learners. This paper focus...
Nancy Milik, Antonija Mitrovic, Michael Grimley