Comments on: Mercury Meltdown Giveaway

By: Jamie Love

Jamie Love — Mon, 28 Dec 2009 19:08:23 +0000

Thanks for entering everyone, codes are in the mail!

By: John

John — Mon, 28 Dec 2009 18:54:06 +0000

My email is pac-man_2010@hotmail.com if you want to send me the code !!

By: Kris

Kris — Sun, 27 Dec 2009 13:45:50 +0000

Mercury is the smallest and innermost planet in the solar system!

By: Wolfkin

Wolfkin — Thu, 24 Dec 2009 18:47:35 +0000

I remember MM. It did look intersting and I remember thinking how people should be confused with the other MM. Marble Madness.

By: John

John — Wed, 23 Dec 2009 17:20:48 +0000

Mercury is used in thermometers, barometers, manometers, sphygmomanometers, float valves, and other scientific apparatus, though concerns about the element’s toxicity have led to mercury thermometers and sphygmomanometers being largely phased out in clinical environments in favor of alcohol-filled, digital, or thermistor-based instruments. It remains in use in a number of other ways in scientific and scientific research applications, and in amalgam material for dental restoration. It is used in lighting; electricity passed through mercury vapor in a phosphor tube produces short-wave ultraviolet light which then causes the phosphor to fluoresce, making visible light.

By: Greg

Greg — Wed, 23 Dec 2009 01:17:00 +0000

Of course, the images were killed. Pretend these equations are in that comment:

http://greggay.com/img/tar4/1.png
http://greggay.com/img/tar4/2.png

By: Greg

Greg — Wed, 23 Dec 2009 01:16:01 +0000

Naive Bayes classifiers offer a relationship between fragments of evidence E_i, a prior probability for a class P(H), and a posterior probability P(H|E):

For numeric features, a features mean and standard deviation are used in a Gaussian probability function:

Simple naive Bayes classifiers are called “naive” since they assume independence of each feature. Potentially, this is a significant problem for data sets where the static code measures are highly correlated (e.g. the number of symbols in a module increases linearly with the module’s lines of code). However, Domingos and Pazzini have shown theoretically that the independence assumption is a problem in a vanishingly small percent of cases.