You are currently browsing the Markus Breitenbach weblog archives for the day July 13, 2007 1:08 pm.
- Advertising (1)
- Artificial Intelligence (AI) (13)
- Classification (3)
- Clustering (1)
- Coding / Programming (8)
- Cryptography (1)
- Data Mining (22)
- Economy / Investing (1)
- ewrt linux (2)
- Fixing Stuff (8)
- Machine Learning (32)
- Math (2)
- Politics (3)
- Predictive Modeling (5)
- Psychology (3)
- Ramblings (26)
- Random (9)
- Security (16)
- Society (13)
- Sociology (4)
- spam (3)
- Statistics (20)
- January 28, 2012 4:56 pm: Will 2012 be the year of Big Data?
- August 14, 2011 10:41 pm: UK plans to exempt data mining from copyright laws
- June 21, 2011 3:26 am: Risk Assessment of Rare Events in adversarial Scenarios
- March 26, 2011 7:57 pm: How Kinect body tracking works and how Machine Learning helped
- March 1, 2011 11:58 am: European Court of Justice ruling (indirectly) on what cannot be used in Insurance Risk Models
- December 11, 2010 8:35 pm: Mining of Massive Datasets
- December 4, 2010 2:28 pm: Ideas on communicating risks and probabilities to the general public
- October 17, 2010 5:48 pm: Birthday Paradox
- August 5, 2010 1:06 am: Elo Scores and Rating Contestants
- July 11, 2010 8:56 pm: GraphLab & Parallel Machine Learning
Blogroll
Uncategorized
Useful Links
- January 2012
- August 2011
- June 2011
- March 2011
- December 2010
- October 2010
- August 2010
- July 2010
- June 2010
- February 2010
- January 2010
- November 2009
- July 2009
- June 2009
- May 2009
- April 2009
- March 2009
- February 2009
- January 2009
- December 2008
- November 2008
- October 2008
- September 2008
- August 2008
- July 2008
- June 2008
- May 2008
- April 2008
- March 2008
- February 2008
- January 2008
- December 2007
- November 2007
- October 2007
- September 2007
- August 2007
- July 2007
- June 2007
- May 2007
- April 2007
- March 2007
- February 2007
- January 2007
- December 2006
- November 2006
- October 2006
- September 2006
- August 2006
Archive for July 13, 2007 1:08 pm
What Machine Learning Papers to read …
July 13, 2007 1:08 pm by Markus.
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.
http://www.cs.utah.edu/~hal/WhatToSee/
I have the same problem. And wow… I will have a lot to read this weekend.
Posted in Statistics, Machine Learning, Artificial Intelligence (AI) | Print | No Comments »