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MACHINE LEARNING COURSE - MIT, Support Vector Machines (SVM)

23. Model Merging, Cross-Modal Coupling, Course Summary

March 10, 2014
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MACHINE LEARNING COURSE - MIT, Support Vector Machines (SVM)

22. Probabilistic Inference II

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MACHINE LEARNING COURSE - MIT, Support Vector Machines (SVM)

21. Probabilistic Inference I

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MACHINE LEARNING COURSE - MIT, Support Vector Machines (SVM)

19. Architectures: GPS, SOAR, Subsumption, Society of Mind

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MACHINE LEARNING COURSE - MIT, Support Vector Machines (SVM)

18. Representations: Classes, Trajectories, Transitions

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MACHINE LEARNING COURSE - MIT, Support Vector Machines (SVM)

17. Learning: Boosting

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MACHINE LEARNING COURSE - MIT, Support Vector Machines (SVM)

15. Learning: Near Misses, Felicity Conditions

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MACHINE LEARNING COURSE - MIT, Support Vector Machines (SVM)

14. Learning: Sparse Spaces, Phonology

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MACHINE LEARNING COURSE - MIT, Support Vector Machines (SVM)

13. Learning: Genetic Algorithms

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MACHINE LEARNING COURSE - MIT, Support Vector Machines (SVM)

12. Learning: Neural Nets, Back Propagation

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Category - MACHINE LEARNING COURSE – MIT

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