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2024-03-29T01:13:24Z
User contributions
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http://www.bloominglabs.org/index.php/AIClass
AIClass
2014-04-17T18:31:46Z
<p>Msbaltz: /* Topics */</p>
<hr />
<div>== Information ==<br />
* Class mailing list: AI-class@bloominglabs.org<br />
<br />
* [http://harold.uits.indiana.edu/~jtillots/AI-class/lectures Class lectures]<br />
<br />
Logging into the pogolinux box:<br />
<pre><br />
At Bloominglabs: 192.168.1.100 port 2200<br />
Outside of Bloominglabs: bloominglabs.no-ip.org port 2200<br />
</pre><br />
<br />
For an ssh client for windows, I would use [http://www.chiark.greenend.org.uk/~sgtatham/putty/download.html putty]<br />
<br />
== Resources ==<br />
<br />
* [http://inst.eecs.berkeley.edu/~cs188/fa11/lectures.html Berkeley course]<br />
* [http://videolectures.net/ http://videolectures.net/]<br />
<br />
== Topics ==<br />
<br />
*IBM Watson (lecture 7)<br />
**[http://www.slideshare.net/jahendler/watson-summer-review82013final Watson at RPI (Slide Presentation)]<br />
**[http://nlp.cs.rpi.edu/course/spring14/nlp.html Open Source Watson]<br />
**[https://mu.lti.cs.cmu.edu/trac/oaqa CMU's OAQA (Open Advancement of Question Answering)]<br />
**[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]<br />
**[http://harold.uits.indiana.edu/~jtillots/AI-class/watson/ Articles]<br />
**Read:<br />
***[http://harold.uits.indiana.edu/~jtillots/AI-class/watson/01Introduction.pdf Introduction]<br />
***[http://harold.uits.indiana.edu/~jtillots/AI-class/watson/12IdentifyImplicitRelationships.pdf Identifying Implicit Relationships]<br />
***[http://harold.uits.indiana.edu/~jtillots/AI-class/watson/03DeepParsing.pdf Deep Parsing]<br />
***[http://harold.uits.indiana.edu/~jtillots/AI-class/watson/07Typing.pdf Typing]<br />
***[http://harold.uits.indiana.edu/~jtillots/AI-class/watson/05AutomaticKnowledgeExtraction.pdf Automatic Knowledge Extraction]<br />
*Hidden Markov Models (lecture 6)<br />
** [http://harold.uits.indiana.edu/~jtillots/AI-class/lectures/lecture6/notes.txt Lecture notes] <br />
** [http://www.cs.ubc.ca/~murphyk/Bayes/rabiner.pdf Rabiner Tutorial]<br />
** [http://www.cs.sjsu.edu/faculty/stamp/RUA/HMM.pdf Stamp Review of Rabiner]<br />
** [http://sifaka.cs.uiuc.edu/course/498cxz05f/hmm.pdf Zhai Tutorial]<br />
** [http://en.wikipedia.org/wiki/Viterbi_algorithm Viterbi Algorithm]<br />
** [http://en.wikipedia.org/wiki/Baum%E2%80%93Welch_algorithm Baum-Welch Algorithm]<br />
** [http://nlp.stanford.edu/fsnlp/ Foundations of Statistical Natural Language Processing]<br />
<br />
*Bayesian Networks (lecture 4 and 5)<br />
** [http://inst.eecs.berkeley.edu/~cs188/fa11/slides/FA11%20cs188%20lecture%2014%20--%20bayes%20nets%20II%20(2PP).pdf Bayesian I]<br />
** [http://inst.eecs.berkeley.edu/~cs188/fa11/slides/FA11%20cs188%20lecture%2015%20--%20bayes%20nets%20III%20(2PP).pdf Bayesian II]<br />
** [http://www.cs.cmu.edu/~ggordon/10601/hws/hw2/hw2.pdf Homework]<br />
** [http://www.cs.cmu.edu/~ggordon/10601/hws/hw2/hw2_sol.pdf Solutions]<br />
<br />
*Perceptrons/Neural Networks (lecture 3 and 4)<br />
** [http://harold.uits.indiana.edu/~jtillots/AI-class/lectures/lecture3/lecture3.txt Topics and Readings]<br />
** [http://page.mi.fu-berlin.de/rojas/neural/chapter/ Rojas' online Neural Network book]<br />
** [http://www.stanford.edu/group/pdplab/pdphandbook/handbook.pdf Explorations in Parallel Distributed Processing]<br />
** [http://www.stanford.edu/group/pdplab/pdphandbook/ Online version of Explorations in PDP]<br />
** [http://www.stanford.edu/group/pdplab/resources.html#pdptool PDP software]<br />
** [http://channel9.msdn.com/Events/Build/2013/2-401 Video on developing neural networks]<br />
<br />
*Genetic Algorithms (lecture 2)<br />
** Readings<br />
*** http://burakkanber.com/blog/machine-learning-genetic-algorithms-part-1-javascript/<br />
*** http://burakkanber.com/blog/machine-learning-genetic-algorithms-in-javascript-part-2/<br />
** Online examples<br />
*** http://www.rennard.org/alife/english/gavgb.html<br />
*** https://www.ads.tuwien.ac.at/raidl/tspga/TSPGA.html<br />
** [http://harold.uits.indiana.edu/~jtillots/AI-class/lectures/lecture2/GAs Examples from class]<br />
** Homework<br />
*** Implement an algorithm that solves the knapsack problem<br />
*** See the second reading for a description of the problem<br />
*** [http://harold.uits.indiana.edu/~jtillots/AI-class/lectures/lecture2/knapsack.c Data and data structure]<br />
<br />
*Search (lecture 1)<br />
** [http://harold.uits.indiana.edu/~jtillots/AI-class/lectures/lecture1/lecture1.txt Topics and Readings]<br />
** [http://harold.uits.indiana.edu/~jtillots/AI-class/lectures/lecture1 Slides]<br />
** Homework<br />
*** [http://harold.uits.indiana.edu/~jtillots/AI-class/lectures/lecture1/tictactoe Minimax/AlphaBeta Pruning]</div>
Msbaltz
http://www.bloominglabs.org/index.php/AIClass
AIClass
2014-04-17T18:31:20Z
<p>Msbaltz: /* Topics */</p>
<hr />
<div>== Information ==<br />
* Class mailing list: AI-class@bloominglabs.org<br />
<br />
* [http://harold.uits.indiana.edu/~jtillots/AI-class/lectures Class lectures]<br />
<br />
Logging into the pogolinux box:<br />
<pre><br />
At Bloominglabs: 192.168.1.100 port 2200<br />
Outside of Bloominglabs: bloominglabs.no-ip.org port 2200<br />
</pre><br />
<br />
For an ssh client for windows, I would use [http://www.chiark.greenend.org.uk/~sgtatham/putty/download.html putty]<br />
<br />
== Resources ==<br />
<br />
* [http://inst.eecs.berkeley.edu/~cs188/fa11/lectures.html Berkeley course]<br />
* [http://videolectures.net/ http://videolectures.net/]<br />
<br />
== Topics ==<br />
<br />
*IBM Watson (lecture 7)<br />
**[http://www.slideshare.net/jahendler/watson-summer-review82013final Watson at RPI]<br />
**[http://nlp.cs.rpi.edu/course/spring14/nlp.html Open Source Watson]<br />
**[https://mu.lti.cs.cmu.edu/trac/oaqa CMU's OAQA (Open Advancement of Question Answering)]<br />
**[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]<br />
**[http://harold.uits.indiana.edu/~jtillots/AI-class/watson/ Articles]<br />
**Read:<br />
***[http://harold.uits.indiana.edu/~jtillots/AI-class/watson/01Introduction.pdf Introduction]<br />
***[http://harold.uits.indiana.edu/~jtillots/AI-class/watson/12IdentifyImplicitRelationships.pdf Identifying Implicit Relationships]<br />
***[http://harold.uits.indiana.edu/~jtillots/AI-class/watson/03DeepParsing.pdf Deep Parsing]<br />
***[http://harold.uits.indiana.edu/~jtillots/AI-class/watson/07Typing.pdf Typing]<br />
***[http://harold.uits.indiana.edu/~jtillots/AI-class/watson/05AutomaticKnowledgeExtraction.pdf Automatic Knowledge Extraction]<br />
*Hidden Markov Models (lecture 6)<br />
** [http://harold.uits.indiana.edu/~jtillots/AI-class/lectures/lecture6/notes.txt Lecture notes] <br />
** [http://www.cs.ubc.ca/~murphyk/Bayes/rabiner.pdf Rabiner Tutorial]<br />
** [http://www.cs.sjsu.edu/faculty/stamp/RUA/HMM.pdf Stamp Review of Rabiner]<br />
** [http://sifaka.cs.uiuc.edu/course/498cxz05f/hmm.pdf Zhai Tutorial]<br />
** [http://en.wikipedia.org/wiki/Viterbi_algorithm Viterbi Algorithm]<br />
** [http://en.wikipedia.org/wiki/Baum%E2%80%93Welch_algorithm Baum-Welch Algorithm]<br />
** [http://nlp.stanford.edu/fsnlp/ Foundations of Statistical Natural Language Processing]<br />
<br />
*Bayesian Networks (lecture 4 and 5)<br />
** [http://inst.eecs.berkeley.edu/~cs188/fa11/slides/FA11%20cs188%20lecture%2014%20--%20bayes%20nets%20II%20(2PP).pdf Bayesian I]<br />
** [http://inst.eecs.berkeley.edu/~cs188/fa11/slides/FA11%20cs188%20lecture%2015%20--%20bayes%20nets%20III%20(2PP).pdf Bayesian II]<br />
** [http://www.cs.cmu.edu/~ggordon/10601/hws/hw2/hw2.pdf Homework]<br />
** [http://www.cs.cmu.edu/~ggordon/10601/hws/hw2/hw2_sol.pdf Solutions]<br />
<br />
*Perceptrons/Neural Networks (lecture 3 and 4)<br />
** [http://harold.uits.indiana.edu/~jtillots/AI-class/lectures/lecture3/lecture3.txt Topics and Readings]<br />
** [http://page.mi.fu-berlin.de/rojas/neural/chapter/ Rojas' online Neural Network book]<br />
** [http://www.stanford.edu/group/pdplab/pdphandbook/handbook.pdf Explorations in Parallel Distributed Processing]<br />
** [http://www.stanford.edu/group/pdplab/pdphandbook/ Online version of Explorations in PDP]<br />
** [http://www.stanford.edu/group/pdplab/resources.html#pdptool PDP software]<br />
** [http://channel9.msdn.com/Events/Build/2013/2-401 Video on developing neural networks]<br />
<br />
*Genetic Algorithms (lecture 2)<br />
** Readings<br />
*** http://burakkanber.com/blog/machine-learning-genetic-algorithms-part-1-javascript/<br />
*** http://burakkanber.com/blog/machine-learning-genetic-algorithms-in-javascript-part-2/<br />
** Online examples<br />
*** http://www.rennard.org/alife/english/gavgb.html<br />
*** https://www.ads.tuwien.ac.at/raidl/tspga/TSPGA.html<br />
** [http://harold.uits.indiana.edu/~jtillots/AI-class/lectures/lecture2/GAs Examples from class]<br />
** Homework<br />
*** Implement an algorithm that solves the knapsack problem<br />
*** See the second reading for a description of the problem<br />
*** [http://harold.uits.indiana.edu/~jtillots/AI-class/lectures/lecture2/knapsack.c Data and data structure]<br />
<br />
*Search (lecture 1)<br />
** [http://harold.uits.indiana.edu/~jtillots/AI-class/lectures/lecture1/lecture1.txt Topics and Readings]<br />
** [http://harold.uits.indiana.edu/~jtillots/AI-class/lectures/lecture1 Slides]<br />
** Homework<br />
*** [http://harold.uits.indiana.edu/~jtillots/AI-class/lectures/lecture1/tictactoe Minimax/AlphaBeta Pruning]</div>
Msbaltz