Modeling and Reasoning with Bayesian Networks

New book in 2009 about Bayesian Networks: "Modeling and Reasoning with Bayesian Networks" by Prof. Adnan Darwiche .

Link download: http://gigapedia.com/items/346116/modeling-and-reasoning-with-bayesian-networks (make sure that you already log in into that site)

Link on Amazon website: http://www.amazon.com/Modeling-Reasoning-Bayesian-Networks-Professor/dp/0521884381/ref=sr_1_1?ie=UTF8&s=books&qid=1239663545&sr=8-1

I am trying to read some of chapters in this book to study about Bayesian Networks and find that it is written with a very comprehensive and straightforward fashion, especially help us easily deal with a lot of mathematical materials in Bayesian Networks with accompanying examples. In my opinion, it may be better than the typical book in Bayesian Networks, namely "Learning Bayesian Networks" by Richard E. Neapolitan, which is very tough to read and understand.

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Cheers,
Vu

Statistical Data Mining Tutorials

http://www.autonlab.org/tutorials/index.html by Prof. Andrew W. Moore.

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Cheers,
Vu

SynView - A free syntax tree visualization tool

http://www.christian-behrenberg.de/work/SynView.html

Introduction trailer on YouTube: http://www.youtube.com/watch?v=zFi9ldFYlEs

Extremely awesome with 3D manipulation. It may be helpful for people who regularly deal with syntax tree in NLP.

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Cheers,

Vu

True Knowledge - The Internet Answer Engine

http://www.trueknowledge.com/

Just a beta version but very impressive about what it can do for us.

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Cheers,
Vu

IBM PhD Fellowship

https://www.ibm.com/developerworks/university/phdfellowship/

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Cheers,
Vu

Open source search engine

The below is some collected information relevant to up-to-date open source search engine toolkits:

1) Lucene: http://lucene.apache.org/ (Java)
--> CLucene: http://sourceforge.net/projects/clucene/ (C++)

2) Minion: https://minion.dev.java.net
3) Galago: http://www.galagosearch.org/

4) Xapian: http://xapian.org/ (C++)

5) http://www.searchenginecaffe.com/2007/03/open-source-search-engines-in-java-and.html (very informative)

6) Minion vs. Lucene: http://blogs.sun.com/searchguy/entry/minion_and_lucene_query_languages

7) Search Engine Wrapper (Yee Fan Tan - NUS): http://wing.comp.nus.edu.sg/~tanyeefa/downloads/searchenginewrapper/

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Cheers,
Vu

Bayesian Inference with Tears

Will plan to read this article to understand more about Bayesian inference applied to NLP.
Link: http://www.isi.edu/natural-language/people/bayes-with-tears.pdf
(by Kevin Knight)

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Cheers,
Vu