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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**[https://mu.lti.cs.cmu.edu/trac/oaqa CMU's OAQA (Open Advancement of Question Answering)] |
**[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] |
**[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] |
<!-- **[http://harold.uits.indiana.edu/~jtillots/AI-class/lectures/lecture7/watson/ Articles] |
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**Read: |
**Read: |
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***[http://harold.uits.indiana.edu/~jtillots/AI-class/lectures/lecture7/watson/01Introduction.pdf Introduction] |
***[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/03DeepParsing.pdf Deep Parsing] |
***[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] |
***[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] |
***[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) |
*Hidden Markov Models (lecture 6) |
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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)
