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dblp: Foundations and Trends in Machine Learning, Volume 6

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Foundations and Trends in Machine Learning, Volume 6

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Volume 6, Number 1, 2013

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  - journals/ftml/LindstenS13
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Fredrik Lindsten, Thomas B. Schön:
Backward Simulation Methods for Monte Carlo Statistical Inference. 1-143

Volume 6, Numbers 2-3, 2013

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Francis R. Bach:
Learning with Submodular Functions: A Convex Optimization Perspective. 145-373

Volume 6, Number 4, 2013

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Alborz Geramifard, Thomas J. Walsh, Stefanie Tellex, Girish Chowdhary, Nicholas Roy, Jonathan P. How:
A Tutorial on Linear Function Approximators for Dynamic Programming and Reinforcement Learning. 375-451

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