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» Learning Object Context for Adaptive Learning Design
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GECCO
2009
Springer
188views Optimization» more  GECCO 2009»
15 years 10 months ago
Exploiting multiple classifier types with active learning
Many approaches to active learning involve training one classifier by periodically choosing new data points about which the classifier has the least confidence, but designing a co...
Zhenyu Lu, Josh Bongard
ICCV
1998
IEEE
16 years 8 months ago
Wormholes in Shape Space: Tracking Through Discontinuous Changes in Shape
Existing object tracking algorithms generally use some form of local optimisation, assuming that an object's position and shape change smoothly over time. In some situations ...
Tony Heap, David Hogg
JMLR
2012
13 years 8 months ago
Domain Adaptation: A Small Sample Statistical Approach
We study the prevalent problem when a test distribution differs from the training distribution. We consider a setting where our training set consists of a small number of sample d...
Ruslan Salakhutdinov, Sham M. Kakade, Dean P. Fost...
GROUP
2003
ACM
15 years 11 months ago
Collaborative virtual environments for supporting learning communities: an experience of use
In this paper we present the experiences of usage of Viras, a collaborative virtual environment for social awareness support in educational settings. Collaborative Virtual environ...
Ekaterina Prasolova-Førland, Monica Divitin...
IJCAI
2003
15 years 7 months ago
Information Extraction from Tree Documents by Learning Subtree Delimiters
Information extraction from HTML pages has been conventionally treated as plain text documents extended with HTML tags. However, the growing maturity and correct usage of HTML/XHT...
Boris Chidlovskii