Difference between revisions of "AIClass"

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* [http://harold.uits.indiana.edu/~jtillots/AI-class/lectures Class lectures]
 
* [http://harold.uits.indiana.edu/~jtillots/AI-class/lectures Class lectures]
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Logging into the pogolinux box:
 
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<pre>
 
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  At Bloominglabs: 192.168.1.100 port 2200
 
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  Outside of Bloominglabs: bloominglabs.no-ip.org port 2200
 
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</pre>
 
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For an ssh client for windows, I would use  [http://www.chiark.greenend.org.uk/~sgtatham/putty/download.html putty]
 
  
 
== Resources ==
 
== Resources ==
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* [http://inst.eecs.berkeley.edu/~cs188/fa11/lectures.html Berkeley course]
 
* [http://inst.eecs.berkeley.edu/~cs188/fa11/lectures.html Berkeley course]
 
* [http://videolectures.net/ http://videolectures.net/]
 
* [http://videolectures.net/ http://videolectures.net/]
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== Topics ==
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*Philosophy of Mind (lecture 10)
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** [http://harold.uits.indiana.edu/~jtillots/AI-class/lectures/lecture10/Chap26.pdf Reading]
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*Learning (lecture 9)
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** [http://harold.uits.indiana.edu/~jtillots/AI-class/lectures/lecture9/Chap20-21.pdf Reading]
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*Vision (lecture 8)
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** [http://harold.uits.indiana.edu/~jtillots/AI-class/lectures/lecture8/chap24.pdf Reading]
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** [http://ninedegreesbelow.com/photography/all-the-colors.html RBG Color Gamuts]
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** [http://homepage.cs.uiowa.edu/~cwyman/classes/spring08-22C251/homework/canny.pdf Canny Edge Detection Algorithm]
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*IBM Watson (lecture 7)
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**[http://www.slideshare.net/jahendler/watson-summer-review82013final Watson at RPI (Slide Presentation)]
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**[http://nlp.cs.rpi.edu/course/spring14/nlp.html Open Source Watson]
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**[https://mu.lti.cs.cmu.edu/trac/oaqa CMU's OAQA (Open Advancement of Question Answering)]
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**[https://www.ibm.com/developerworks/community/blogs/InsideSystemStorage/entry/ibm_watson_how_to_build_your_own_watson_jr_in_your_basement7?lang=en How to build your own "Watson Jr." in your basement]
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<!-- **[http://harold.uits.indiana.edu/~jtillots/AI-class/lectures/lecture7/watson/ Articles]
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**Read:
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***[http://harold.uits.indiana.edu/~jtillots/AI-class/lectures/lecture7/watson/01Introduction.pdf Introduction]
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***[http://harold.uits.indiana.edu/~jtillots/AI-class/lectures/lecture7/watson/12IdentifyImplicitRelationships.pdf Identifying Implicit Relationships]
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***[http://harold.uits.indiana.edu/~jtillots/AI-class/lectures/lecture7/watson/03DeepParsing.pdf Deep Parsing]
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***[http://harold.uits.indiana.edu/~jtillots/AI-class/lectures/lecture7/watson/07Typing.pdf Typing]
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***[http://harold.uits.indiana.edu/~jtillots/AI-class/lectures/lecture7/watson/05AutomaticKnowledgeExtraction.pdf Automatic Knowledge Extraction] -->
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*Hidden Markov Models (lecture 6)
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** [http://harold.uits.indiana.edu/~jtillots/AI-class/lectures/lecture6/notes.txt Lecture notes]
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** [http://www.cs.ubc.ca/~murphyk/Bayes/rabiner.pdf Rabiner Tutorial]
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** [http://www.cs.sjsu.edu/faculty/stamp/RUA/HMM.pdf Stamp Review of Rabiner]
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** [http://sifaka.cs.uiuc.edu/course/498cxz05f/hmm.pdf Zhai Tutorial]
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** [http://en.wikipedia.org/wiki/Viterbi_algorithm Viterbi Algorithm]
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** [http://en.wikipedia.org/wiki/Baum%E2%80%93Welch_algorithm Baum-Welch Algorithm]
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** [http://nlp.stanford.edu/fsnlp/ Foundations of Statistical Natural Language Processing]
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*Bayesian Networks (lecture 4 and 5)
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** [http://inst.eecs.berkeley.edu/~cs188/fa11/slides/FA11%20cs188%20lecture%2014%20--%20bayes%20nets%20II%20(2PP).pdf Bayesian I]
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** [http://inst.eecs.berkeley.edu/~cs188/fa11/slides/FA11%20cs188%20lecture%2015%20--%20bayes%20nets%20III%20(2PP).pdf Bayesian II]
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** [http://www.cs.cmu.edu/~ggordon/10601/hws/hw2/hw2.pdf Homework]
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** [http://www.cs.cmu.edu/~ggordon/10601/hws/hw2/hw2_sol.pdf Solutions]
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*Perceptrons/Neural Networks (lecture 3 and 4)
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** [http://harold.uits.indiana.edu/~jtillots/AI-class/lectures/lecture3/lecture3.txt Topics and Readings]
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** [http://page.mi.fu-berlin.de/rojas/neural/chapter/ Rojas' online Neural Network book]
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** [http://www.stanford.edu/group/pdplab/pdphandbook/handbook.pdf Explorations in Parallel Distributed Processing]
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** [http://www.stanford.edu/group/pdplab/pdphandbook/ Online version of Explorations in PDP]
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** [http://www.stanford.edu/group/pdplab/resources.html#pdptool PDP software]
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** [http://channel9.msdn.com/Events/Build/2013/2-401 Video on developing neural networks]
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*Genetic Algorithms (lecture 2)
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** Readings
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*** http://burakkanber.com/blog/machine-learning-genetic-algorithms-part-1-javascript/
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*** http://burakkanber.com/blog/machine-learning-genetic-algorithms-in-javascript-part-2/
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** Online examples
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***  http://www.rennard.org/alife/english/gavgb.html
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*** https://www.ads.tuwien.ac.at/raidl/tspga/TSPGA.html
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** [http://harold.uits.indiana.edu/~jtillots/AI-class/lectures/lecture2/GAs Examples from class]
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** Homework
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*** Implement an algorithm that solves the knapsack problem
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*** See the second reading for a description of the problem
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*** [http://harold.uits.indiana.edu/~jtillots/AI-class/lectures/lecture2/knapsack.c Data and data structure]
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*Search (lecture 1)
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** [http://harold.uits.indiana.edu/~jtillots/AI-class/lectures/lecture1/lecture1.txt Topics and Readings]
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** [http://harold.uits.indiana.edu/~jtillots/AI-class/lectures/lecture1 Slides]
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** Homework
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*** [http://harold.uits.indiana.edu/~jtillots/AI-class/lectures/lecture1/tictactoe Minimax/AlphaBeta Pruning]

Latest revision as of 00:19, 6 February 2015

[edit] Information

  • Class mailing list: AI-class@bloominglabs.org

[edit] Resources

[edit] Topics

  • Philosophy of Mind (lecture 10)
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