Reference material

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m (→Topics and Playlist 2012)
m (→Topics and Playlist 2012)
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well before each quiz.
well before each quiz.
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<i>s</i> in an assignment means the material will be in the "spiritual" and "right-now" part of the
+
<i>srn</i> in an assignment means the material will be in the "spiritual" and "right-now" part of the
quiz.  See [[Grading and collaboration policy]].
quiz.  See [[Grading and collaboration policy]].
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| 19 || Wed || [http://courses.csail.mit.edu/6.034f/ai3/ch6.pdf Games] || 1 || It's Only Rock and Roll, Stones
| 19 || Wed || [http://courses.csail.mit.edu/6.034f/ai3/ch6.pdf Games] || 1 || It's Only Rock and Roll, Stones
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|-
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| 24 || Mon || [http://courses.csail.mit.edu/6.034f/ai3/ch12.pdf Constraints in interpretation] || 2s || I Can't Get No Satisfaction, Stones
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| 24 || Mon || [http://courses.csail.mit.edu/6.034f/ai3/ch12.pdf Constraints in interpretation] || 2srn || I Can't Get No Satisfaction, Stones
|-  
|-  
| 26 || Wed || Quiz 1|| - || -
| 26 || Wed || Quiz 1|| - || -
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| 1 || Mon|| Constraints in resource allocation || 2 || Paint it Black, Stones
| 1 || Mon|| Constraints in resource allocation || 2 || Paint it Black, Stones
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|-  
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| 3 || Wed || [http://courses.csail.mit.edu/6.034f/ai3/ch26.pdf Constraints in recognition] || 2s || The First Time I Saw your Face, Presley   
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| 3 || Wed || [http://courses.csail.mit.edu/6.034f/ai3/ch26.pdf Constraints in recognition] || 2srn || The First Time I Saw your Face, Presley   
|-  
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| 5 || Fri || Gerald J. Sussman: Propagator systems || 2s ||
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| 5 || Fri || Gerald J. Sussman: Propagator systems || 2srn ||
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| 10 || Wed|| [http://courses.csail.mit.edu/6.034f/ai3/ch19.pdf Nearest neighbor learning] /[http://courses.csail.mit.edu/6.034f/sleep.pdf Sleep] || 2 || <!--ABC song, Ray Charles et al. -->
| 10 || Wed|| [http://courses.csail.mit.edu/6.034f/ai3/ch19.pdf Nearest neighbor learning] /[http://courses.csail.mit.edu/6.034f/sleep.pdf Sleep] || 2 || <!--ABC song, Ray Charles et al. -->
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| 15 || Mon|| [http://courses.csail.mit.edu/6.034f/ai3/netmath.pdf Neural net learning] || 3 || 19th Nervous Breakdown, Stones   
| 15 || Mon|| [http://courses.csail.mit.edu/6.034f/ai3/netmath.pdf Neural net learning] || 3 || 19th Nervous Breakdown, Stones   
|-
|-
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| 17 || Wed|| [http://courses.csail.mit.edu/6.034f/ai3/ch25.pdf Genetic algorithms] || 3s || Let's spend the night together, Stones
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| 17 || Wed|| [http://courses.csail.mit.edu/6.034f/ai3/ch25.pdf Genetic algorithms] || 3srn || Let's spend the night together, Stones
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|-
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| 19 || Fri || Edward Boyden: Real neural nets || 3s ||
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| 19 || Fri || Edward Boyden: Real neural nets || 3srn ||
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| 22 || Mon || [http://courses.csail.mit.edu/6.803/pdf/yip.pdf Learning in sparse spaces] || 3s || You talk too much, Peas
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| 22 || Mon || [http://courses.csail.mit.edu/6.803/pdf/yip.pdf Learning in sparse spaces] || 3srn || You talk too much, Peas
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| 24 || Wed || Quiz 2|| - || -
| 24 || Wed || Quiz 2|| - || -
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| 26 || Fri || To be determined || 3s ||
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| 26 || Fri || To be determined || 3srn ||
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| 29 || Mon || [http://courses.csail.mit.edu/6.034f/ai3/SVM.pdf Support-vector machines],  [http://ai6034.mit.edu/fall11/images/SVM_and_Boosting.pdf SVM (and Boosting) Notes] || 3 || Get a little help from my friends, Beatles
| 29 || Mon || [http://courses.csail.mit.edu/6.034f/ai3/SVM.pdf Support-vector machines],  [http://ai6034.mit.edu/fall11/images/SVM_and_Boosting.pdf SVM (and Boosting) Notes] || 3 || Get a little help from my friends, Beatles
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| 2 || Fri || Professor Nancy Kanwisher: watching the brain at work <br/> [http://courses.csail.mit.edu/6.034f/ai3/Kanwisher2010.pdf Less than you want to know]<br>[http://web.mit.edu/bcs/nklab/publications.shtml Maybe more than you want to know]
| 2 || Fri || Professor Nancy Kanwisher: watching the brain at work <br/> [http://courses.csail.mit.edu/6.034f/ai3/Kanwisher2010.pdf Less than you want to know]<br>[http://web.mit.edu/bcs/nklab/publications.shtml Maybe more than you want to know]
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||4s || Happy, Stones
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||4srn || Happy, Stones
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|-
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| 5 || Mon || [http://courses.csail.mit.edu/6.034f/ai3/ch16.pdf Learning from near misses] || 4s || Imma Be Rocking that Body, Peas
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| 5 || Mon || [http://courses.csail.mit.edu/6.034f/ai3/ch16.pdf Learning from near misses] || 4srn || Imma Be Rocking that Body, Peas
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|-
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| 7 || Wed|| <!--[http://courses.csail.mit.edu/6.034f/ai3/Emotionmachine.pdf Slides] <br>-->GPS, [http://courses.csail.mit.edu/6.034f/ai3/SOAR.pdf SOAR],  [http://courses.csail.mit.edu/6.034f/ai3/Subsumption.pdf Subsumption], [http://web.media.mit.edu/~minsky/eb5.html Society of Mind]|| 4s || Thus spake Zarathustra, Strauss
+
| 7 || Wed|| <!--[http://courses.csail.mit.edu/6.034f/ai3/Emotionmachine.pdf Slides] <br>-->GPS, [http://courses.csail.mit.edu/6.034f/ai3/SOAR.pdf SOAR],  [http://courses.csail.mit.edu/6.034f/ai3/Subsumption.pdf Subsumption], [http://web.media.mit.edu/~minsky/eb5.html Society of Mind]|| 4srn || Thus spake Zarathustra, Strauss
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|-
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| 9 || Fri || To be determined || 4s ||
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| 9 || Fri || To be determined || 4srn ||
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|-
| 14 || Wed || Quiz 3|| - || -
| 14 || Wed || Quiz 3|| - || -
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|-
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| 16 || Fri || To be determined || 4s ||
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| 16 || Fri || To be determined || 4srn ||
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| 19 || Mon || [http://courses.csail.mit.edu/6.034f/ai3/ch9.pdf Representation] || 4s || Selections from the Black Watch, aka The Ladies from Hell
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| 19 || Mon || [http://courses.csail.mit.edu/6.034f/ai3/ch9.pdf Representation] || 4srn || Selections from the Black Watch, aka The Ladies from Hell
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| 21 || Wed || The AI Business  || - || Money, money, ABBA
| 21 || Wed || The AI Business  || - || Money, money, ABBA
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| 28 || Wed || [http://courses.csail.mit.edu/6.034f/ai3/bayes.pdf Probabilistic inference II] || 4 || Tumbling Dice, Stones
| 28 || Wed || [http://courses.csail.mit.edu/6.034f/ai3/bayes.pdf Probabilistic inference II] || 4 || Tumbling Dice, Stones
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|-
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| 30 || Fri || Vikash Mansinghka: Statistical systems || 4s ||
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| 30 || Fri || Vikash Mansinghka: Statistical systems || 4srn ||
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! December !!Day!! Topic !! Quiz #!! Playlist  
! December !!Day!! Topic !! Quiz #!! Playlist  
|-
|-
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| 3 || Mon|| <!--[http://courses.csail.mit.edu/6.034f/ai3/Rightway.pdf Slides] <br> -->[http://groups.csail.mit.edu/genesis/trilogy.html Hypotheses: more than you want to know]|| 4s || Ode to Joy, Ninth Symphony, Beethoven  
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| 3 || Mon|| <!--[http://courses.csail.mit.edu/6.034f/ai3/Rightway.pdf Slides] <br> -->[http://groups.csail.mit.edu/genesis/trilogy.html Hypotheses: more than you want to know]|| 4srn || Ode to Joy, Ninth Symphony, Beethoven  
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| 5 || Wed || Quiz 4|| - || -
| 5 || Wed || Quiz 4|| - || -
|-
|-
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| 10 || Mon|| <!--[http://courses.csail.mit.edu/6.034f/ai3/Farewell2011.pdf Slides] <br> --> [http://courses.csail.mit.edu/6.034f/ai3/coen-short.pdf Cross-modal clustering: less and more than you want to know] || 4s ||  Don't stop, Stones  
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| 10 || Mon|| <!--[http://courses.csail.mit.edu/6.034f/ai3/Farewell2011.pdf Slides] <br> --> [http://courses.csail.mit.edu/6.034f/ai3/coen-short.pdf Cross-modal clustering: less and more than you want to know] || 4srn ||  Don't stop, Stones  
|-
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Revision as of 20:42, 26 September 2012

Topics and Playlist 2012

Assignment of material to quizzes 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.

September Day Topic Quiz # Playlist
5 Wed What it's all about Start me up, Stones
10 Mon Goal trees and problem solving 1 This could be the last time, Stones
12 Wed Rule-based expert systems (pp.53-60) 1 Engineer's Song, Chorallaries
14 Fri Basic search --- Searchin', Beatles
17 Mon Optimal search 1 Route 66, Stones
19 Wed Games 1 It's Only Rock and Roll, Stones
24 Mon Constraints in interpretation 2srn I Can't Get No Satisfaction, Stones
26 Wed Quiz 1 - -
October Day Topic Quiz # Playlist
1 Mon Constraints in resource allocation 2 Paint it Black, Stones
3 Wed Constraints in recognition 2srn The First Time I Saw your Face, Presley
5 Fri Gerald J. Sussman: Propagator systems 2srn
10 Wed Nearest neighbor learning /Sleep 2
12 Fri Identification tree learning 2
15 Mon Neural net learning 3 19th Nervous Breakdown, Stones
17 Wed Genetic algorithms 3srn Let's spend the night together, Stones
19 Fri Edward Boyden: Real neural nets 3srn
22 Mon Learning in sparse spaces 3srn You talk too much, Peas
24 Wed Quiz 2 - -
26 Fri To be determined 3srn
29 Mon Support-vector machines, SVM (and Boosting) Notes 3 Get a little help from my friends, Beatles
31 Wed Boosting (Winston and Ortiz notes), Boosting (Shapiri paper) 4 Workin' together, Ike and Tina Turner
November Day Topic Quiz # Playlist
2 Fri Professor Nancy Kanwisher: watching the brain at work
Less than you want to know
Maybe more than you want to know 		4srn Happy, Stones
5 Mon Learning from near misses 4srn Imma Be Rocking that Body, Peas
7 Wed GPS, SOAR, Subsumption, Society of Mind 4srn Thus spake Zarathustra, Strauss
9 Fri To be determined 4srn
14 Wed Quiz 3 - -
16 Fri To be determined 4srn
19 Mon Representation 4srn Selections from the Black Watch, aka The Ladies from Hell
21 Wed The AI Business - Money, money, ABBA
26 Mon Probabilistic inference I 4
28 Wed Probabilistic inference II 4 Tumbling Dice, Stones
30 Fri Vikash Mansinghka: Statistical systems 4srn
December Day Topic Quiz # Playlist
3 Mon Hypotheses: more than you want to know 4srn Ode to Joy, Ninth Symphony, Beethoven
5 Wed Quiz 4 - -
10 Mon Cross-modal clustering: less and more than you want to know 4srn Don't stop, Stones
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