Reference material
From 6.034 Wiki
(Difference between revisions)
Line 80: | Line 80: | ||
| 15 || Fri || Right-now: Dr. Gill Pratt, Toyota Research Institute || 4SRN | | 15 || Fri || Right-now: Dr. Gill Pratt, Toyota Research Institute || 4SRN | ||
|- | |- | ||
- | | 18 || Mon || [https://ai6034.mit.edu/wiki/images/Boosting-notes.pdf Boosting notes], [https://ai6034.mit.edu/wiki/images/Boosting-notes-winston+ortiz.pdf Winston and Ortiz boosting notes], [http://courses.csail.mit.edu/6.034f/ai3/msri.pdf Shapire boosting paper | + | | 18 || Mon || [https://ai6034.mit.edu/wiki/images/Boosting-notes.pdf Boosting notes], [https://ai6034.mit.edu/wiki/images/Boosting-notes-winston+ortiz.pdf Winston and Ortiz boosting notes], [http://courses.csail.mit.edu/6.034f/ai3/msri.pdf Shapire boosting paper] || 4 |
|- | |- | ||
<!-- | <!-- |
Revision as of 19:33, 4 November 2019
Assignment of material to quizzes below is tentative, but final assignment will be announced well before each quiz. SRN in an assignment means the material will be in the "spiritual" and "right-now" part of the quiz. See Grading and collaboration policy.
Included below are readings associated with lecture topics; many are from Prof. Winston's book, Artificial Intelligence. (The bibliography for the book can be found here.) If/when terminology differs, prefer terminology used in the current lectures, recitations, and programming labs.
September | Day | Topic | Quiz # |
---|---|---|---|
4 | Wed | What it's all about, summary | |
6 | Fri | Problem solving and goal trees, slides | 1 |
9 | Mon | Rule-based expert systems, slides | 1 |
11 | Wed | Lightning review: Basic search, slides | 1 |
13 | Fri | Optimal search, boards | 1 |
16 | Mon | Games, games practice 1, games soln 1, games practice 2, games soln 2 | 1 |
18 | Wed | Constraints in interpretation, slides | 2SRN |
20 | Fri | Holiday: Student | - |
23 | Mon | Constraints in resource allocation, slides | 2 |
25 | Wed | Quiz 1, solutions | - |
27 | Fri | Right-now: Dr. Marc Raibert, Boston Dynamics | 2SRN |
30 | Mon | Nearest neighbor learning, slides | 2 |
October | Day | Topic | Quiz # |
2 | Wed | Identification tree learning, boards | 2 |
4 | Fri | Right-now: Prof. Ed Boyden, Dept. of Biological Engineering | 2SRN |
7 | Mon | Neural net learning, slides | 3 |
9 | Wed | Deep neural nets, slides | 2SRN |
11 | Fri | Right-now: Prof. Aleksander Madry, Dept. of EECS | 2SRN |
14 | Mon | Holiday: Columbus day | - |
16 | Wed | Quiz 2, solutions | - |
18 | Fri | AlphaGo and AlphaZero, slides, boards | 3SRN |
21 | Mon | Support vector machines, SVM notes, slides | 3 |
23 | Wed | Learning in sparse spaces | 3SRN |
25 | Fri | Genetic algorithms, boards | 3SRN |
28 | Mon | Representations, slides | 3SRN |
30 | Wed | Learning from near misses, boards | 3SRN |
November | Day | Topic | Quiz # |
1 | Fri | Right-now: Prof. Nancy Kanwisher, Dept. of Brain and Cognitive Sciences | 3SRN |
4 | Mon | Architectures: GPS, SOAR, Subsumption, Society of Mind | 4SRN |
6 | Wed | Quiz 3 | - |
8 | Fri | Probability review | 4 |
11 | Mon | Holiday: Veteran's day | - |
13 | Wed | Probabilistic inference: Bayes | 4 |
15 | Fri | Right-now: Dr. Gill Pratt, Toyota Research Institute | 4SRN |
18 | Mon | Boosting notes, Winston and Ortiz boosting notes, Shapire boosting paper | 4 |