Difference between revisions of "AIClass"
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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/watson/ Articles] | + | **[http://harold.uits.indiana.edu/~jtillots/AI-class/lectures/lecture7/watson/ Articles] |
**Read: | **Read: | ||
| − | ***[http://harold.uits.indiana.edu/~jtillots/AI-class/watson/01Introduction.pdf Introduction] | + | ***[http://harold.uits.indiana.edu/~jtillots/AI-class/lectures/lecture7/watson/01Introduction.pdf Introduction] |
| − | ***[http://harold.uits.indiana.edu/~jtillots/AI-class/watson/12IdentifyImplicitRelationships.pdf Identifying Implicit Relationships] | + | ***[http://harold.uits.indiana.edu/~jtillots/AI-class/lectures/lecture7/watson/12IdentifyImplicitRelationships.pdf Identifying Implicit Relationships] |
| − | ***[http://harold.uits.indiana.edu/~jtillots/AI-class/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/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/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) | ||
** [http://harold.uits.indiana.edu/~jtillots/AI-class/lectures/lecture6/notes.txt Lecture notes] | ** [http://harold.uits.indiana.edu/~jtillots/AI-class/lectures/lecture6/notes.txt Lecture notes] | ||
Revision as of 20:07, 19 April 2014
Information
- Class mailing list: AI-class@bloominglabs.org
Logging into the pogolinux box:
At Bloominglabs: 192.168.1.100 port 2200 Outside of Bloominglabs: bloominglabs.no-ip.org port 2200
For an ssh client for windows, I would use putty
Resources
Topics
- 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)
