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» Statistical Models of Conditioning
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FLAIRS
2009
14 years 7 months ago
Mining Default Rules from Statistical Data
In this paper, we are interested in the qualitative knowledge that underlies some given probabilistic information. To represent such qualitative structures, we use ordinal conditi...
Gabriele Kern-Isberner, Matthias Thimm, Marc Finth...
ISORC
2008
IEEE
15 years 4 months ago
Compositional Feasibility Analysis of Conditional Real-Time Task Models
Conditional real-time task models, which are generalizations of periodic, sporadic, and multi-frame tasks, represent real world applications more accurately. These models can be c...
Madhukar Anand, Arvind Easwaran, Sebastian Fischme...
NIPS
2003
14 years 11 months ago
Model Uncertainty in Classical Conditioning
We develop a framework based on Bayesian model averaging to explain how animals cope with uncertainty about contingencies in classical conditioning experiments. Traditional accoun...
Aaron C. Courville, Nathaniel D. Daw, Geoffrey J. ...
IJCNN
2008
IEEE
15 years 4 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
NIPS
2008
14 years 11 months ago
Resolution Limits of Sparse Coding in High Dimensions
This paper addresses the problem of sparsity pattern detection for unknown ksparse n-dimensional signals observed through m noisy, random linear measurements. Sparsity pattern rec...
Alyson K. Fletcher, Sundeep Rangan, Vivek K. Goyal