class prof

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1. 1▶9.520 - 10/28/2015 - Class 15 - Charlie Frogner: Stability of Tikhonov RegularizationMIT Course 9.520 - Statistical Learning Theory and Applications, Fall 2015Notes
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2. 2▶9.520 - 10/26/2015 - Class 14 - Charlie Frogner: Generalization Bounds, Intro to StabilityMIT Course 9.520 - Statistical Learning Theory and Applications, Fall 2015Notes
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3. 3▶9.520 - 10/21/2015 - Class 13 - Prof. Lorenzo Rosasco: Multiple Kernel LearningMIT Course 9.520 - Statistical Learning Theory and Applications, Fall 2015Notes
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4. 4▶9.520 - 10/19/2015 - Class 12 - Prof. Lorenzo Rosasco: Structured Sparsity RegularizationMIT Course 9.520 - Statistical Learning Theory and Applications, Fall 2015Notes
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5. 5▶9.520 - 10/14/2015 - Class 11 - Prof. Lorenzo Rosasco: Proximal MethodsMIT Course 9.520 - Statistical Learning Theory and Applications, Fall 2015Notes
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6. 6▶9.520 - 10/13/2015 - Class 10 - Prof. Lorenzo Rosasco: Sparsity Based RegularizationMIT Course 9.520 - Statistical Learning Theory and Applications, Fall 2015Notes
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7. 7▶9.520 - 09/14/2015 - Class 02 - Prof. Tomaso Poggio: The Learning Problem and RegularizationMIT Course 9.520 - Statistical Learning Theory and Applications, Fall 2015Notes
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8. 8▶9.520 - 09/16/2015 - Class 03 - Carlo Ciliberto & Charlie Frogner: Math CampMIT Course 9.520 - Statistical Learning Theory and Applications, Fall 2015Notes
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9. 9▶9.520 - 09/09/2015 - Class 01 - Prof. Tomaso Poggio: The Course at a GlanceMIT Course 9.520 - Statistical Learning Theory and Applications, Fall 2015Notes
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10. 10▶9.520 - 10/07/2015 - Class 09 - Prof. Lorenzo Rosasco: Iterative Regularization via Early StoppingMIT Course 9.520 - Statistical Learning Theory and Applications, Fall 2015Notes
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11. 11▶9.520 - 9/30/2015 - Class 07 - Prof. Lorenzo Rosasco: Logistic Regression and Support ...MIT Course 9.520 - Statistical Learning Theory and Applications, Fall 2015Notes
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12. 12▶9.520 - 10/05/2015 - Class 08 - Prof. Lorenzo Rosasco: Regularized Least SquaresMIT Course 9.520 - Statistical Learning Theory and Applications, Fall 2015Notes
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13. 13▶9.520 - 9/28/2015 - Class 06 - Prof. Lorenzo Rosasco - Tikhonov Regularization and the ...MIT Course 9.520 - Statistical Learning Theory and Applications, Fall 2015Notes
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14. 14▶9.520 - 9/23/2015 - Class 05 - Prof. Lorenzo Rosasco - Dictionaries, Feature Maps and Mercer TheoremMIT Course 9.520 - Statistical Learning Theory and Applications, Fall 2015Notes
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15. 15▶9.520 - 9/21/2015 - Class 04 - Prof. Lorenzo Rosasco: Reproducing Kernel Hilbert SpacesMIT Course 9.520 - Statistical Learning Theory and Applications, Fall 2015Notes
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