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» Machine Learning Approaches for Inducing Student Models
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IJCNN
2006
IEEE
14 years 2 months ago
Alleviating Catastrophic Forgetting via Multi-Objective Learning
— Handling catastrophic forgetting is an interesting and challenging topic in modeling the memory mechanisms of the human brain using machine learning models. From a more general...
Yaochu Jin, Bernhard Sendhoff
MICCAI
1999
Springer
14 years 1 months ago
A 3d Puzzle for Learning Anatomy
We present a new metaphor for learning anatomy - the 3d puzzle. With this metaphor students learn anatomic relations by assembling a geometric model themselves. For this purpose, a...
Bernhard Preim, Felix Ritter, Oliver Deussen
BMCBI
2007
153views more  BMCBI 2007»
13 years 8 months ago
Analysis of nanopore detector measurements using Machine-Learning methods, with application to single-molecule kinetic analysis
Background: A nanopore detector has a nanometer-scale trans-membrane channel across which a potential difference is established, resulting in an ionic current through the channel ...
Matthew Landry, Stephen Winters-Hilt
ICML
2008
IEEE
14 years 9 months ago
Extracting and composing robust features with denoising autoencoders
Previous work has shown that the difficulties in learning deep generative or discriminative models can be overcome by an initial unsupervised learning step that maps inputs to use...
Pascal Vincent, Hugo Larochelle, Yoshua Bengio, Pi...
KAIS
2008
165views more  KAIS 2008»
13 years 8 months ago
Multirelational classification: a multiple view approach
Multirelational classification aims at discovering useful patterns across multiple inter-connected tables (relations) in a relational database. Many traditional learning techniques...
Hongyu Guo, Herna L. Viktor