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KDD
2012
ACM
187views Data Mining» more  KDD 2012»
13 years 13 days ago
Online learning to diversify from implicit feedback
In order to minimize redundancy and optimize coverage of multiple user interests, search engines and recommender systems aim to diversify their set of results. To date, these dive...
Karthik Raman, Pannaga Shivaswamy, Thorsten Joachi...
SDM
2012
SIAM
237views Data Mining» more  SDM 2012»
13 years 12 days ago
A Distributed Kernel Summation Framework for General-Dimension Machine Learning
Kernel summations are a ubiquitous key computational bottleneck in many data analysis methods. In this paper, we attempt to marry, for the first time, the best relevant technique...
Dongryeol Lee, Richard W. Vuduc, Alexander G. Gray
AAAI
2012
13 years 11 days ago
POMDPs Make Better Hackers: Accounting for Uncertainty in Penetration Testing
Penetration Testing is a methodology for assessing network security, by generating and executing possible hacking attacks. Doing so automatically allows for regular and systematic...
Carlos Sarraute, Olivier Buffet, Jörg Hoffman...
AAAI
2012
13 years 11 days ago
On Maxsum Fair Cake Divisions
We consider the problem of selecting fair divisions of a heterogeneous divisible good among a set of agents. Recent work (Cohler et al., AAAI 2011) focused on designing algorithms...
Steven J. Brams, Michal Feldman, John K. Lai, Jami...
CVPR
2007
IEEE
16 years 9 hour ago
Regression tracking with data relevance determination
This paper 1 addresses the problem of efficient visual 2D template tracking in image sequences. We adopt a discriminative approach in which the observations at each frame yield di...
Ioannis Patras, Edwin R. Hancock