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MIT 6.034 Artificial Intelligence, Fall 2010 (Youtube)

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View the complete course: http://ocw.mit.edu/6-034F10
Instructor: Patrick Winston

In these lectures, Prof. Patrick Winston introduces the 6.034 material from a conceptual, big-picture perspective. Topics include reasoning, search, constraints, learning, representations, architectures, and probabilistic inference.

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29 vidéos trouvées.

	nom	durée	vues
	Mega-R4. Neural Nets	52:38	0
	16. Learning: Support Vector Machines	49:34	0
	23. Model Merging, Cross-Modal Coupling, Course Summary	49:31	0
	8. Constraints: Search, Domain Reduction	45:24	0
	4. Search: Depth-First, Hill Climbing, Beam	48:42	0
	10. Introduction to Learning, Nearest Neighbors	49:56	0
	19. Architectures: GPS, SOAR, Subsumption, Society of Mind	49:60	0
	Mega-R5. Support Vector Machines	49:53	0
	Mega-R2. Basic Search, Optimal Search	51:56	0
	18. Representations: Classes, Trajectories, Transitions	48:58	0
	13. Learning: Genetic Algorithms	47:16	0
	14. Learning: Sparse Spaces, Phonology	47:49	0
	1. Introduction and Scope	47:19	0
	Mega-R7. Near Misses, Arch Learning	33:50	0
	2. Reasoning: Goal Trees and Problem Solving	45:58	0
	11. Learning: Identification Trees, Disorder	49:37	0
	12. Learning: Neural Nets, Back Propagation	47:54	0
	7. Constraints: Interpreting Line Drawings	49:13	0
	3. Reasoning: Goal Trees and Rule-Based Expert Systems	49:56	0
	22. Probabilistic Inference II	48:46	0
	9. Constraints: Visual Object Recognition	51:32	0
	21. Probabilistic Inference I	48:30	0
	15. Learning: Near Misses, Felicity Conditions	46:54	0
	Mega-R3. Games, Minimax, Alpha-Beta	50:56	0
	17. Learning: Boosting	51:40	0
	5. Search: Optimal, Branch and Bound, A*	48:37	0
	Mega-R1. Rule-Based Systems	46:58	0
	Mega-R6. Boosting	49:55	0
	6. Search: Games, Minimax, and Alpha-Beta	48:17	0

MIT OpenCourseWare 5 896 vidéos, +2 320 000 abonnés

MIT OpenCourseWare
5 896 vidéos, +2 320 000 abonnés