Calendar 2006
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- | | '''1'''<br>[http://courses.csail.mit.edu/6.034f/ai3/ch21.pdf Identification tree learning] | + | | '''1'''<br>[http://courses.csail.mit.edu/6.034f/ai3/ch21.pdf Identification tree learning] |
| '''2'''<br> | | '''2'''<br> | ||
| '''3'''<br>Mega-recitation | | '''3'''<br>Mega-recitation | ||
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| '''6'''<br>[http://courses.csail.mit.edu/6.034f/ai3/netmath.pdf Neural net learning] | | '''6'''<br>[http://courses.csail.mit.edu/6.034f/ai3/netmath.pdf Neural net learning] | ||
| '''7'''<br> | | '''7'''<br> | ||
- | | '''8'''<br>Self-organizing maps<br>[[Problem set | + | | '''8'''<br>Self-organizing maps<br>[[Problem set 4|Pset 4]] due |
| '''9'''<br> | | '''9'''<br> | ||
|bgcolor="#eeeeff"| '''10'''<br>Veterans Day, Holiday | |bgcolor="#eeeeff"| '''10'''<br>Veterans Day, Holiday | ||
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| '''20'''<br>[http://courses.csail.mit.edu/6.034f/ai3/msri.pdf Boosting] | | '''20'''<br>[http://courses.csail.mit.edu/6.034f/ai3/msri.pdf Boosting] | ||
| '''21'''<br> | | '''21'''<br> | ||
- | | '''22'''<br>The AI Business<br>[[Problem set | + | | '''22'''<br>The AI Business<br>[[Problem set 5|Pset 5]] due |
|bgcolor="#eeeeff"| '''23'''<br>Thanksgiving, Holiday | |bgcolor="#eeeeff"| '''23'''<br>Thanksgiving, Holiday | ||
|bgcolor="#eeeeff"| '''24'''<br>Thanksgiving, Holiday | |bgcolor="#eeeeff"| '''24'''<br>Thanksgiving, Holiday | ||
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| '''27'''<br>[http://courses.csail.mit.edu/6.034f/ai3/ch16.pdf Learning from near misses] | | '''27'''<br>[http://courses.csail.mit.edu/6.034f/ai3/ch16.pdf Learning from near misses] | ||
| '''28'''<br> | | '''28'''<br> | ||
- | | '''29'''<br>[http://courses.csail.mit.edu/6.034f/ai3/ch17.pdf Learning by explanation]<br>[[Problem set | + | | '''29'''<br>[http://courses.csail.mit.edu/6.034f/ai3/ch17.pdf Learning by explanation]<br>[[Problem set 6|Pset 6]] due |
| '''30'''<br> | | '''30'''<br> | ||
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Revision as of 04:14, 27 October 2006
Contents |
September
Monday | Tuesday | Wednesday | Thursday | Friday |
---|---|---|---|---|
6 What is AI? Pset 0 released | 7 No recitations | 8 No recitations or mega-recitation | ||
11 Symbolic integration | 12 | 13 Goals and rules (pp.53-60) Pset 0 due | 14 Pset 1 released | 15 Mega-recitation: 11 AM in 32-123 |
18 Basic search | 19 | 20 Optimal search Pset 1 due | 21 | 22 Mega-recitation |
25 Student Holiday | 26 Students in Monday tutorials should attend a Tuesday tutorial. | 27 Quiz 1 in lecture | 28 Pset 2 released | 29 Mega-recitation |
October
Monday | Tuesday | Wednesday | Thursday | Friday |
---|---|---|---|---|
2 Games | 3 | 4 Genetic algorithms Pset 2 due | 5 | 6 Mega-recitation |
9 Columbus Day, Holiday | 10 Columbus Day, Holiday | 11 Constraints in drawings | 12 Pset 3 released | 13 Mega-recitation |
16 Constraints in maps and schedules | 17 | 18 Learning to recognize objects Pset 3 due | 19 | 20 Mega-recitation |
23 Frames and representation | 24 | 25 Quiz 2 in lecture | 26 | 27 Mega-recitation |
30 Nearest neighbor learning | 31 |
November
Monday | Tuesday | Wednesday | Thursday | Friday |
---|---|---|---|---|
1 Identification tree learning | 2 | 3 Mega-recitation | ||
6 Neural net learning | 7 | 8 Self-organizing maps Pset 4 due | 9 | 10 Veterans Day, Holiday |
13 Support-vector machines | 14 | 15 Quiz 3 in lecture | 16 | 17 Mega-recitation |
20 Boosting | 21 | 22 The AI Business Pset 5 due | 23 Thanksgiving, Holiday | 24 Thanksgiving, Holiday |
27 Learning from near misses | 28 | 29 Learning by explanation Pset 6 due | 30 |
December
Monday | Tuesday | Wednesday | Thursday | Friday |
---|---|---|---|---|
1 Mega-recitation | ||||
4 To be determined | 5 | 6 Quiz 4 in lecture | 7 | 8 Mega-recitation |
11 To be determined | 12 | 13 Farewell summary | 14 | 15 |
18 | 19 | 20 | 21 | 22 |
25 | 26 | 27 | 28 | 29 |