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» Imitation Learning Using Graphical Models
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NIPS
2004
13 years 9 months ago
Dynamic Bayesian Networks for Brain-Computer Interfaces
We describe an approach to building brain-computer interfaces (BCI) based on graphical models for probabilistic inference and learning. We show how a dynamic Bayesian network (DBN...
Pradeep Shenoy, Rajesh P. N. Rao
KDD
1997
ACM
221views Data Mining» more  KDD 1997»
14 years 17 days ago
MineSet: An Integrated System for Data Mining
MineSetTM , Silicon Graphics’ interactive system for data mining, integrates three powerful technologies: database access, analytical data mining, and data visualization. It sup...
Clifford Brunk, James Kelly, Ron Kohavi
IUI
2010
ACM
14 years 5 months ago
Agent-assisted task management that reduces email overload
RADAR is a multiagent system with a mixed-initiative user interface designed to help office workers cope with email overload. RADAR agents observe experts to learn models of their...
Aaron Steinfeld, Andrew Faulring, Asim Smailagic, ...
CVPR
2006
IEEE
14 years 2 months ago
Measure Locally, Reason Globally: Occlusion-sensitive Articulated Pose Estimation
Part-based tree-structured models have been widely used for 2D articulated human pose-estimation. These approaches admit efficient inference algorithms while capturing the import...
Leonid Sigal, Michael J. Black
QEST
2009
IEEE
14 years 3 months ago
Recent Extensions to Traviando
—Traviando is a trace analyzer and visualizer for simulation traces of discrete event dynamic systems. In this paper, we briefly outline recent extensions of Traviando towards a...
Peter Kemper