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» The changing science of machine learning
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ECTEL
2010
Springer
13 years 8 months ago
Deep Learning Design for Sustainable Innovation within Shifting Learning Landscapes
Changes in the underpinning technologies for TEL is occurring at a pace that we have never before experienced, and this is unlikely to slow down. This necessitates a broader and mo...
Andrew Ravenscroft, Tom Boyle, John Cook, Andreas ...
SDM
2010
SIAM
226views Data Mining» more  SDM 2010»
13 years 9 months ago
Two-View Transductive Support Vector Machines
Obtaining high-quality and up-to-date labeled data can be difficult in many real-world machine learning applications, especially for Internet classification tasks like review spam...
Guangxia Li, Steven C. H. Hoi, Kuiyu Chang
DIDACTICA
2000
110views more  DIDACTICA 2000»
13 years 7 months ago
Umsetzung von Grundkonzepten der Informatik zur fachlichen Orientierung im Informatikunterricht
Abstract During its development computer science has more and more established a way it sees itself. However, in recent years the rise of distributed systems and object orientation...
Ludger Humbert
ITS
2010
Springer
157views Multimedia» more  ITS 2010»
14 years 15 days ago
A Computational Model of Accelerated Future Learning through Feature Recognition
Accelerated future learning, in which learning proceeds more effectively and more rapidly because of prior learning, is considered to be one of the most interesting measures of ro...
Nan Li, William W. Cohen, Kenneth R. Koedinger
ECTEL
2007
Springer
14 years 1 months ago
Resolving Variations in Learning Spaces for Experiential Learning
Today, systems should react based on explicit demands from the learner or even proactively react based on changes in the working environment. The success of this type of systems de...
Eric Ras