Difference between revisions of "AIClass"
From Bloominglabs
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For an ssh client for windows, I would use [http://www.chiark.greenend.org.uk/~sgtatham/putty/download.html putty] | For an ssh client for windows, I would use [http://www.chiark.greenend.org.uk/~sgtatham/putty/download.html putty] | ||
| − | == | + | == Topics == |
*Search | *Search | ||
| + | ** [http://harold.uits.indiana.edu/~jtillots/lectures/lecture1/lecture1.txt Topics and Readings] | ||
| + | ** [http://harold.uits.indiana.edu/~jtillots/lectures/lecture1 Slides] | ||
| + | ** Homework | ||
| + | *** [http://harold.uits.indiana.edu/~jtillots/lectures/lectures1/tictactoe Minimax/AlphaBeta Pruning] | ||
*Genetic Algorithms | *Genetic Algorithms | ||
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*** http://www.rennard.org/alife/english/gavgb.html | *** http://www.rennard.org/alife/english/gavgb.html | ||
*** https://www.ads.tuwien.ac.at/raidl/tspga/TSPGA.html | *** https://www.ads.tuwien.ac.at/raidl/tspga/TSPGA.html | ||
| + | ** [https://harold.uits.indiana.edu/~jtillots/lectures/lecture2/GAs Examples from class] | ||
| + | ** Homework | ||
| + | *** Implement an algorithm that solves the knapsack problem | ||
| + | *** [http://harold.uits.indiana.edu/~jtillots/lectures/lectures2/homework.txt Instructions] | ||
| + | *** [http://harold.uits.indiana.edu/~jtillots/lectures/lectures2/knapsack.c Data and data structure] | ||
| + | |||
| + | *Perceptrons/Neural Networks | ||
| + | ** [http://harold.uits.indiana.edu/~jtillots/lectures/lecture3/lecture3.txt Topics and Readings] | ||
== Resources == | == Resources == | ||
Revision as of 00:36, 14 February 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
Topics
- Search
- Genetic Algorithms
- http://burakkanber.com/blog/machine-learning-genetic-algorithms-part-1-javascript/
- http://burakkanber.com/blog/machine-learning-genetic-algorithms-in-javascript-part-2/
- Online examples
- Examples from class
- Homework
- Implement an algorithm that solves the knapsack problem
- Instructions
- Data and data structure
- Perceptrons/Neural Networks
