Difference between revisions of "AIClass"
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== Topics == | == Topics == | ||
− | *Philosophy of Mind | + | |
+ | *Philosophy of Mind (lecture 10) | ||
** [http://harold.uits.indiana.edu/~jtillots/AI-class/lectures/lecture10/Chap26.pdf Reading] | ** [http://harold.uits.indiana.edu/~jtillots/AI-class/lectures/lecture10/Chap26.pdf Reading] | ||
− | *Learning | + | |
+ | *Learning (lecture 9) | ||
** [http://harold.uits.indiana.edu/~jtillots/AI-class/lectures/lecture9/Chap20-21.pdf Reading] | ** [http://harold.uits.indiana.edu/~jtillots/AI-class/lectures/lecture9/Chap20-21.pdf Reading] | ||
+ | |||
*Vision (lecture 8) | *Vision (lecture 8) | ||
** [http://harold.uits.indiana.edu/~jtillots/AI-class/lectures/lecture8/chap24.pdf Reading] | ** [http://harold.uits.indiana.edu/~jtillots/AI-class/lectures/lecture8/chap24.pdf Reading] | ||
** [http://ninedegreesbelow.com/photography/all-the-colors.html RBG Color Gamuts] | ** [http://ninedegreesbelow.com/photography/all-the-colors.html RBG Color Gamuts] | ||
** [http://homepage.cs.uiowa.edu/~cwyman/classes/spring08-22C251/homework/canny.pdf Canny Edge Detection Algorithm] | ** [http://homepage.cs.uiowa.edu/~cwyman/classes/spring08-22C251/homework/canny.pdf Canny Edge Detection Algorithm] | ||
+ | |||
*IBM Watson (lecture 7) | *IBM Watson (lecture 7) | ||
**[http://www.slideshare.net/jahendler/watson-summer-review82013final Watson at RPI (Slide Presentation)] | **[http://www.slideshare.net/jahendler/watson-summer-review82013final Watson at RPI (Slide Presentation)] | ||
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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] | ||
***[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) | ||
** [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 01:17, 29 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
- 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)