AIClass: Difference between revisions
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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] |
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== Resources == |
== Resources == |
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== Topics == |
== 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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** [http://harold.uits.indiana.edu/~jtillots/AI-class/lectures/lecture3/lecture3.txt Topics and Readings] |
** [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] |
** [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] |
** [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 |
** [http://www.stanford.edu/group/pdplab/pdphandbook/ Online version of Explorations in PDP] |
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** [http://www.stanford.edu/group/pdplab/ |
** [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 |
*Genetic Algorithms (lecture 2) |
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** Readings |
** Readings |
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*** http://burakkanber.com/blog/machine-learning-genetic-algorithms-part-1-javascript/ |
*** http://burakkanber.com/blog/machine-learning-genetic-algorithms-part-1-javascript/ |
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*** [http://harold.uits.indiana.edu/~jtillots/AI-class/lectures/lecture2/knapsack.c Data and data structure] |
*** [http://harold.uits.indiana.edu/~jtillots/AI-class/lectures/lecture2/knapsack.c Data and data structure] |
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*Search |
*Search (lecture 1) |
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** [http://harold.uits.indiana.edu/~jtillots/AI-class/lectures/lecture1/lecture1.txt Topics and Readings] |
** [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] |
** [http://harold.uits.indiana.edu/~jtillots/AI-class/lectures/lecture1 Slides] |
Latest revision as of 01:19, 6 February 2015
Information
- Class mailing list: AI-class@bloominglabs.org
Resources
Topics
- Philosophy of Mind (lecture 10)
- Learning (lecture 9)
- Vision (lecture 8)
- IBM Watson (lecture 7)
- Hidden Markov Models (lecture 6)
- Bayesian Networks (lecture 4 and 5)
- Perceptrons/Neural Networks (lecture 3 and 4)
- Genetic Algorithms (lecture 2)
- Readings
- Online examples
- Examples from class
- Homework
- Implement an algorithm that solves the knapsack problem
- See the second reading for a description of the problem
- Data and data structure
- Search (lecture 1)