Reference material

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Some of the readings come from Patrick Winston's AI textbook (third edition), which exists as a physical book, but is also available on the internet (and there's a table of contents here).

Topics and Playlist 2011

September Day Topic Quiz # Playlist
5 Wed What it's all about 1
10 Mon Goal trees and problem solving 1
12 Wed Rule-based expert systems (pp.53-60) 1
14 Mon Basic search 1
17 Fri Optimal search 1
19 Mon Games 1
24 Wed Constraints in interpretation 2
26 Wed Quiz 1 - -
October Day Topic Quiz # Playlist
1 Mon Constraints in resource allocation 2
3 Wed Constraints in recognition 2
10 Wed Nearest neighbor learning /Sleep 2
12 Fri Identification tree learning 2
15 Mon Neural net learning 2
17 Wed Genetic algorithms 2
22 Mon Learning in sparse spaces 3
24 Wed Quiz 2 - -
29 Mon Support-vector machines, SVM (and Boosting) Notes 3
31 Wed Boosting (Winston and Ortiz notes), Boosting (Shapiri paper) 3
November Day Topic Quiz # Playlist
5 Mon Learning from near misses 4
7 Wed GPS, SOAR, Subsumption, Society of Mind 4
14 Wed Quiz 3 - -
19 Mon Representation 4
21 Wed The AI Business -
26 Mon Probabilistic inference I 4
28 Wed Probabilistic inference II 4
December Day Topic Quiz # Playlist
3 Mon Hypotheses: more than you want to know 5
5 Wed Quiz 4 - -
12 Wed Cross-modal clustering: less and more than you want to know 5
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