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» Regularized Policy Iteration
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97
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ICALP
2000
Springer
15 years 4 months ago
On Message Sequence Graphs and Finitely Generated Regular MSC Languages
Message Sequence Charts (MSCs) are an attractive visual formalism widely used to capture system requirements during the early design stages in domains such as telecommunication sof...
Jesper G. Henriksen, Madhavan Mukund, K. Narayan K...
89
Voted
NIPS
2000
15 years 1 months ago
APRICODD: Approximate Policy Construction Using Decision Diagrams
We propose a method of approximate dynamic programming for Markov decision processes (MDPs) using algebraic decision diagrams (ADDs). We produce near-optimal value functions and p...
Robert St-Aubin, Jesse Hoey, Craig Boutilier
121
Voted
JMLR
2010
147views more  JMLR 2010»
14 years 7 months ago
Spectral Regularization Algorithms for Learning Large Incomplete Matrices
We use convex relaxation techniques to provide a sequence of regularized low-rank solutions for large-scale matrix completion problems. Using the nuclear norm as a regularizer, we...
Rahul Mazumder, Trevor Hastie, Robert Tibshirani
93
Voted
TMI
2008
116views more  TMI 2008»
15 years 11 days ago
Dynamic PET Reconstruction Using Wavelet Regularization With Adapted Basis Functions
Tomographic reconstruction from positron emission tomography (PET) data is an ill-posed problem that requires regularization. An attractive approach is to impose an 1-regularizatio...
J. Verhaeghe, Dimitri Van De Ville, I. Khalidov, Y...
84
Voted
TSP
2008
116views more  TSP 2008»
15 years 10 days ago
Nonideal Sampling and Regularization Theory
Shannon's sampling theory and its variants provide effective solutions to the problem of reconstructing a signal from its samples in some "shift-invariant" space, wh...
Sathish Ramani, Dimitri Van De Ville, Thierry Blu,...