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ICANN
2009
Springer
15 years 7 months ago
Efficient Uncertainty Propagation for Reinforcement Learning with Limited Data
In a typical reinforcement learning (RL) setting details of the environment are not given explicitly but have to be estimated from observations. Most RL approaches only optimize th...
Alexander Hans, Steffen Udluft
AGP
1995
IEEE
15 years 7 months ago
Domain Independent Ask Approximation in CCP
The main difficulty in the formalization of a static analysis framework for CC programs is probably related to the correct approximation of the entailment relation between constrai...
Enea Zaffanella
BILDMED
2008
122views Algorithms» more  BILDMED 2008»
15 years 5 months ago
A Comparison of Five Methods for Signal Intensity Standardization in MRI
A major problem in magnetic resonance imaging (MRI) is the lack of a pulse sequence dependent standardized intensity scale like the Hounsfield units in computed tomography. This af...
Jan-Philip Bergeest, Florian Jäger
145
Voted
NIPS
2007
15 years 5 months ago
Continuous Time Particle Filtering for fMRI
We construct a biologically motivated stochastic differential model of the neural and hemodynamic activity underlying the observed Blood Oxygen Level Dependent (BOLD) signal in Fu...
Lawrence Murray, Amos J. Storkey
UAI
2008
15 years 5 months ago
Almost Optimal Intervention Sets for Causal Discovery
We conjecture that the worst case number of experiments necessary and sufficient to discover a causal graph uniquely given its observational Markov equivalence class can be specif...
Frederick Eberhardt