7 results on '"Mauro Gaggero"'
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2. Efficient use of Nadaraya-Watson models and low-discrepancy sequences for approximate dynamic programming.
3. Lattice point sets for efficient kernel smoothing models.
4. An approach to exploit non-optimized data for efficient control of unknown systems through neural and kernel models.
5. An analysis based on F-discrepancy for sampling in regression tree learning.
6. Lattice sampling for efficient learning with Nadaraya-Watson local models.
7. Quasi-random sampling for approximate dynamic programming.
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