- Markus Breitenbach - http://blog.markus-breitenbach.com -

What Machine Learning Papers to read …

Posted By Markus On July 13, 2007 1:08 pm @ 1:08 pm (July 13, 2007) In Statistics, Machine Learning, Artificial Intelligence (AI) | No Comments

Laura just pointed me to this system, best described as:

I have a routine problem that sometimes paper titles are not enough to tell me what papers to read in recent conferences, and I often do not have time to read abstracts fully. This collection of scripts is designed to help alleviate the problem. Essentially, what it will do is compare what papers you like to cite with what new papers are citing. High overlap means the paper is probably relevant to you. Sure there are counter-examples, but overall I have found it useful (eg., it has suggested papers to me that are interesting that I would otherwise have missed). Of course, you should also read through titles since that is a somewhat orthogonal source of information.

[1] http://www.cs.utah.edu/~hal/WhatToSee/

I have the same problem. And wow… I will have a lot to read this weekend.


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[1] http://www.cs.utah.edu/~hal/WhatToSee/: http://www.cs.utah.edu/~hal/WhatToSee/

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