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ALT
2010
Springer
15 years 7 months ago
Online Multiple Kernel Learning: Algorithms and Mistake Bounds
Online learning and kernel learning are two active research topics in machine learning. Although each of them has been studied extensively, there is a limited effort in addressing ...
Rong Jin, Steven C. H. Hoi, Tianbao Yang
ICANN
2009
Springer
16 years 25 days ago
Evolving Memory Cell Structures for Sequence Learning
The best recent supervised sequence learning methods use gradient descent to train networks of miniature nets called memory cells. The most popular cell structure seems somewhat ar...
Justin Bayer, Daan Wierstra, Julian Togelius, J&uu...
ICALT
2007
IEEE
16 years 17 days ago
Combine Adaptive Education Hypermedia and SCORM compliant Learning Management Systems
The increase of e-learning led to the development of Adaptive Educational Hypermedia Systems (AEHS). The last few years a new research stream was revealed which combines the funct...
Ioannis Kazanidis, Maya Satratzemi
ICALT
2006
IEEE
16 years 9 days ago
Serving Learning and Assessment in SCALE
In this paper, we present a web-based educational setting, referred to as SCALE (Supporting Collaboration and Adaptation in a Learning Environment), which aims to serve leaning an...
Maria Grigoriadou, Evangelia Gouli, Agoritsa Gogou...
ICML
2008
IEEE
16 years 7 months ago
Boosting with incomplete information
In real-world machine learning problems, it is very common that part of the input feature vector is incomplete: either not available, missing, or corrupted. In this paper, we pres...
Feng Jiao, Gholamreza Haffari, Greg Mori, Shaojun ...