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AIPS
2000
15 years 1 months ago
Probabilistic Hybrid Action Models for Predicting Concurrent Percept-Driven Robot Behavior
This paper develops Probabilistic Hybrid Action Models (PHAMs), a realistic causal model for predicting the behavior generated by modern concurrent percept-driven robot plans. PHA...
Michael Beetz, Henrik Grosskreutz
ICMLA
2010
14 years 9 months ago
A Probabilistic Graphical Model of Quantum Systems
Quantum systems are promising candidates of future computing and information processing devices. In a large system, information about the quantum states and processes may be incomp...
Chen-Hsiang Yeang
SIGIR
2008
ACM
14 years 11 months ago
A new probabilistic retrieval model based on the dirichlet compound multinomial distribution
The classical probabilistic models attempt to capture the Ad hoc information retrieval problem within a rigorous probabilistic framework. It has long been recognized that the prim...
Zuobing Xu, Ram Akella
ICIP
2005
IEEE
16 years 1 months ago
A probabilistic model for robust face alignment in videos
A new approach for localizing facial structure in videos is proposed in this paper by modeling shape alignment dynamically. The approach makes use of the spatial-temporal continuit...
Wei Zhang, Yi Zhou, Xiaoou Tang, Junhui Deng
IJCNN
2008
IEEE
15 years 6 months ago
A comparison of bayesian and conditional density models in probabilistic ozone forecasting
— Probabilistic models were developed to provide predictive distributions of daily maximum surface level ozone concentrations. Five forecast models were compared at two stations ...
Song Cai, William W. Hsieh, Alex J. Cannon