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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== 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)] | ||
**[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] | ||
| − | **[http://harold.uits.indiana.edu/~jtillots/AI-class/lectures/lecture7/watson/ Articles] | + | <!-- **[http://harold.uits.indiana.edu/~jtillots/AI-class/lectures/lecture7/watson/ Articles] |
**Read: | **Read: | ||
***[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] | ||
***[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] | ||
| − | ***[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] --> |
*Hidden Markov Models (lecture 6) | *Hidden Markov Models (lecture 6) | ||
Latest revision as of 01:19, 6 February 2015
[edit] Information
- Class mailing list: AI-class@bloominglabs.org
[edit] Resources
[edit] 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)
