Help, i need to thoroughly understand bayes networks.....to get grounded in ai. i have googled....but not found that material that is shows enough examples....
.help with links.....or any stuff copyright will allow you share......Thanks..
Sadly, there is no KhanAcademy for BayesNet. I learned a lot about Bayesian network, using those three source above:<p>1. book "Bayesian AI": <a href="http://www.csse.monash.edu.au/bai/book/about.php" rel="nofollow">http://www.csse.monash.edu.au/bai/book/about.php</a><p>2. 3hour advanced videotutorial:
<a href="http://videolectures.net/kdd07_neapolitan_lbn/" rel="nofollow">http://videolectures.net/kdd07_neapolitan_lbn/</a><p>3. finally Google scholar:
<a href="http://scholar.google.fi/scholar?hl=en&q=bayesian+networks&btnG=Search&as_sdt=0%2C5&as_ylo=&as_vis=1" rel="nofollow">http://scholar.google.fi/scholar?hl=en&q=bayesian+networ...</a><p>ps: Nice article: <i>"Bayesian Networks without tears"</i> by Eugene Charniak:
<a href="http://www.aaai.org/ojs/index.php/aimagazine/article/view/918/836" rel="nofollow">http://www.aaai.org/ojs/index.php/aimagazine/article/view/91...</a>
To get grounded in AI buy Russell and Norvig's AI text <a href="http://aima.cs.berkeley.edu/" rel="nofollow">http://aima.cs.berkeley.edu/</a>
They also cover Bayes Nets - btw just remember that at its heart, the Bayes Net is just a compact way to write/represent a joint distribution.
Good Luck