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ICML
2006
IEEE
16 years 3 months ago
Probabilistic inference for solving discrete and continuous state Markov Decision Processes
Inference in Markov Decision Processes has recently received interest as a means to infer goals of an observed action, policy recognition, and also as a tool to compute policies. ...
Marc Toussaint, Amos J. Storkey
117
Voted
EDM
2010
160views Data Mining» more  EDM 2010»
15 years 3 months ago
Using Neural Imaging and Cognitive Modeling to Infer Mental States while Using an Intelligent Tutoring System
Functional magnetic resonance imaging (fMRI) data were collected while students worked with a tutoring system that taught an algebra isomorph. A cognitive model predicted the distr...
Jon M. Fincham, John R. Anderson, Shawn Betts, Jen...
109
Voted
ICANNGA
2009
Springer
133views Algorithms» more  ICANNGA 2009»
15 years 9 months ago
Visualizing Time Series State Changes with Prototype Based Clustering
Modern process and condition monitoring systems produce a huge amount of data which is hard to analyze manually. Previous analyzing techniques disregard time information and concen...
Markus Pylvänen, Sami Äyrämö, ...
109
Voted
ICRA
2010
IEEE
122views Robotics» more  ICRA 2010»
15 years 1 months ago
Probabilistic collision state checker for crowded environments
Abstract— For path planning algorithms of robots it is important that the robot does not reach a state of inevitable collision. In crowded environments with many humans or robots...
Daniel Althoff, Matthias Althoff, Dirk Wollherr, M...
ACIVS
2009
Springer
15 years 9 months ago
Behavioral State Detection of Newborns Based on Facial Expression Analysis
Abstract. Prematurely born infants are observed at a Neonatal Intensive Care Unit (NICU) for medical treatment. Whereas vital body functions are continuously monitored, their incub...
Lykele Hazelhoff, Jungong Han, Sidarto Bambang-Oet...