Analysis of information sources in references of the Wikipedia article "Gary Robinson" in English language version.
Gary Robinson's f(x) and combining algorithms, as used in SpamAssassin
Gary Robinson, the head of Emergent Music has an article on his blog about the Three Steps To Freedom. His opinion on this definitely counts, because EM might very well be the future of music. I'm going to chime in with my thoughts here and copy them over to EM's forum as well.
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The FlyFi iTunes Helper sends the contents of your iTunes data file (a behind the scenes part of your iTunes library) to FlyFi server to be analyzed. By looking at your iTunes music, which is one of the best reflections of your musical tastes, FlyFi can make better new music suggestion. FlyFi can also use this information to better serve other members.
Gary Robinson, CTO, is a leader in the "recommendation engine" field. Gary's background reflects his pioneering work in mathematics, technology and collaborative filtering. For instance, as a Research Director at ActiveState, Gary's work on spam detection is now being widely adopted by the anti-spam industry, including such leading filters as SpamAssassin (PC Magazine's Editor's Choice for spam filtering), SpamSieve (MacWorld's Software of the Year) and SpamBayes (PC World's Editor's Choice for spam filtering).
G. Robinson, "Spam Detection", [online] 2002, ... G. Robinson, "Instructions for Training to Exhaustion", (Gary' Longer Rants), [online] 2004, (see page 8)
Gary Robinson proposes an improved method for calculating the word value of a token W. His method modifies Graham's by adding a confidence factor to scale the word value by the amount of historical data that is available for the token. Let N be ...
Emergent Discovery — 565 Congress Street — Suite 201 —Portland, ME 04101
Gary Robinson, CTO, is both a musician and leader in the "recommendation engine" field. Gary's background reflects his pioneering work in mathematics, technology and collaborative filtering.
This article discusses one of many possible mathematical foundations for a key aspect of spam filtering—generating an indicator of "spamminess" from a collection of tokens representing the content of an e-mail.
Algorithms: The Bayesian-style text classifier used by SpamAssassin's BAYES rules is based on an approach outlined by Gary Robinson. Thanks, Gary!
So, as a "thought experiment," I have imagined the following path to creating an alternative music industry.
I make the music recommendation technology at FlyFi — Where I grew up Bronxville, NY — Companies I've worked for Athenium, OLI Systems, Lambda Technology — Schools I've attended Bard College; Courant Institute of Mathematical Sciences
Gary Robinson provided a lot of the serious maths and theory, as well as his essay on "how to do it better" (see the background page for a link).
Gary Robinson's f(x) and combining algorithms, as used in SpamAssassin
Gary Robinson's f(x) and combining algorithms, as used in SpamAssassin
This article discusses one of many possible mathematical foundations for a key aspect of spam filtering—generating an indicator of "spamminess" from a collection of tokens representing the content of an e-mail.
