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ML
2006
ACM
110views Machine Learning» more  ML 2006»
15 years 6 months ago
Distribution-based aggregation for relational learning with identifier attributes
Abstract Identifier attributes--very high-dimensional categorical attributes such as particular product ids or people's names--rarely are incorporated in statistical modeling....
Claudia Perlich, Foster J. Provost
SIGECOM
2006
ACM
184views ECommerce» more  SIGECOM 2006»
16 years 19 days ago
Computing pure nash equilibria in graphical games via markov random fields
We present a reduction from graphical games to Markov random fields so that pure Nash equilibria in the former can be found by statistical inference on the latter. Our result, wh...
Constantinos Daskalakis, Christos H. Papadimitriou
ICSE
2012
IEEE-ACM
13 years 9 months ago
On the naturalness of software
—Natural languages like English are rich, complex, and powerful. The highly creative and graceful use of languages like English and Tamil, by masters like Shakespeare and Avvaiya...
Abram Hindle, Earl T. Barr, Zhendong Su, Mark Gabe...
WWW
2007
ACM
16 years 7 months ago
Identifying and discriminating between web and peer-to-peer traffic in the network core
Traffic classification is the ability to identify and categorize network traffic by application type. In this paper, we consider the problem of traffic classification in the netwo...
Jeffrey Erman, Anirban Mahanti, Martin F. Arlitt, ...
CSL
2008
Springer
15 years 6 months ago
A stopping criterion for active learning
Active learning (AL) is a framework that attempts to reduce the cost of annotating training material for statistical learning methods. While a lot of papers have been presented on...
Andreas Vlachos