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» Learning in the Presence of Inaccurate Information
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UAI
2004
13 years 8 months ago
A Bayesian Approach toward Active Learning for Collaborative Filtering
Collaborative filtering is a useful technique for exploiting the preference patterns of a group of users to predict the utility of items for the active user. In general, the perfo...
Rong Jin, Luo Si
CSREAEEE
2006
112views Business» more  CSREAEEE 2006»
13 years 8 months ago
A Development Tool for E-learning Applications
Task information support on the Web is not always an easy and straightforward process. Much of the information is inaccurate, biased, out-of-date, or just not thorough enough. The...
Darina Dicheva, Christo Dichev, Mohammed Ketel
MIAR
2010
IEEE
13 years 5 months ago
Manifold Learning for Image-Based Gating of Intravascular Ultrasound(IVUS) Pullback Sequences
Intravascular Ultrasound(IVUS) is an imaging technology which provides cross-sectional images of internal coronary vessel structures. The IVUS frames are acquired by pulling the ca...
Gozde Gul Isguder, Gözde B. Ünal, Martin...
TWC
2008
155views more  TWC 2008»
13 years 7 months ago
Distributed sensor network localization using SOCP relaxation
The goal of the sensor network localization problem is to determine positions of all sensor nodes in a network given certain pairwise noisy distance measurements and some anchor no...
Seshan Srirangarajan, Ahmed H. Tewfik, Zhi-Quan Lu...
PRL
2011
13 years 2 months ago
Object recognition using proportion-based prior information: Application to fisheries acoustics
: This paper addresses the inference of probabilistic classification models using weakly supervised learning. The main contribution of this work is the development of learning meth...
Riwal Lefort, Ronan Fablet, Jean-Marc Boucher