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PR
2010
156views more  PR 2010»
15 years 4 months ago
Semi-supervised clustering with metric learning: An adaptive kernel method
Most existing representative works in semi-supervised clustering do not sufficiently solve the violation problem of pairwise constraints. On the other hand, traditional kernel met...
Xuesong Yin, Songcan Chen, Enliang Hu, Daoqiang Zh...
GI
2009
Springer
15 years 3 months ago
An Adaptative Framework for Tracking Web-based Learning Environments
: Collecting and sharing attention information represents a main concern within the Technology Enhanced Learning community, as the number of works or projects related to this topic...
Valentin Butoianu, Philippe Vidal, Julien Broisin
AI
2006
Springer
15 years 6 months ago
Robot introspection through learned hidden Markov models
In this paper we describe a machine learning approach for acquiring a model of a robot behaviour from raw sensor data. We are interested in automating the acquisition of behaviour...
Maria Fox, Malik Ghallab, Guillaume Infantes, Dere...
KDD
2009
ACM
172views Data Mining» more  KDD 2009»
15 years 10 months ago
Learning dynamic temporal graphs for oil-production equipment monitoring system
Learning temporal graph structures from time series data reveals important dependency relationships between current observations and histories. Most previous work focuses on learn...
Yan Liu, Jayant R. Kalagnanam, Oivind Johnsen
ICRA
1998
IEEE
106views Robotics» more  ICRA 1998»
15 years 10 months ago
Learning a Linear Association of Drilling Profiles in Stapedotomy Surgery
The two-level fuzzy-lattice (2L-FL) learning scheme is introduced for application on an intelligent surgical (mechatronic) drill in the stapedotomy surgical procedure in the ear. ...
Vassilis G. Kaburlasos, Vassilios Petridis, Peter ...