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» Online learning to diversify from implicit feedback
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AIRS
2006
Springer
13 years 10 months ago
Improving Re-ranking of Search Results Using Collaborative Filtering
Search Engines today often return a large volume of results with possibly a few relevant results. The notion of relevance is subjective and depends on the user and the context of ...
U. Rohini, Vamshi Ambati
CVPR
2005
IEEE
14 years 8 months ago
A Unified Optimization Based Learning Method for Image Retrieval
In this paper, an optimization based learning method is proposed for image retrieval from graph model point of view. Firstly, image retrieval is formulated as a regularized optimi...
Hanghang Tong, Jingrui He, Mingjing Li, Wei-Ying M...
CIDM
2007
IEEE
13 years 10 months ago
Mining the Students' Learning Interest in Browsing Web-Streaming Lectures
Web-Streaming lectures overcome the space and time barriers between learning and teaching, but bring higher requirements on the learning feedback of students when they browse lectu...
Long Wang 0002, Christoph Meinel
PERVASIVE
2010
Springer
14 years 1 months ago
On the Use of Brain Decoded Signals for Online User Adaptive Gesture Recognition Systems
Activity and context recognition in pervasive and wearable computing ought to continuously adapt to changes typical of open-ended scenarios, such as changing users, sensor characte...
Kilian Förster, Andrea Biasiucci, Ricardo Cha...
ALT
2005
Springer
14 years 3 months ago
Defensive Universal Learning with Experts
This paper shows how universal learning can be achieved with expert advice. To this aim, we specify an experts algorithm with the following characteristics: (a) it uses only feedba...
Jan Poland, Marcus Hutter