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TSMC
2011
228views more  TSMC 2011»
14 years 6 months ago
Privacy-Preserving Outlier Detection Through Random Nonlinear Data Distortion
— Consider a scenario in which the data owner has some private/sensitive data and wants a data miner to access it for studying important patterns without revealing the sensitive ...
Kanishka Bhaduri, Mark D. Stefanski, Ashok N. Sriv...
COGSCI
2010
108views more  COGSCI 2010»
14 years 12 months ago
Do Grammars Minimize Dependency Length?
A well-established principle of language is that there is a preference for closely related words to be close together in the sentence. This can be expressed as a preference for de...
Daniel Gildea, David Temperley
CVPR
1998
IEEE
16 years 1 months ago
Markov Random Fields with Efficient Approximations
Markov Random Fields (MRF's) can be used for a wide variety of vision problems. In this paper we focus on MRF's with two-valued clique potentials, which form a generaliz...
Yuri Boykov, Olga Veksler, Ramin Zabih
EUROGP
2008
Springer
105views Optimization» more  EUROGP 2008»
15 years 1 months ago
A Linear Estimation-of-Distribution GP System
We present N-gram GP, an estimation of distribution algorithm for the evolution of linear computer programs. The algorithm learns and samples the joint probability distribution of...
Riccardo Poli, Nicholas Freitag McPhee
JMLR
2010
115views more  JMLR 2010»
14 years 10 months ago
Message-passing for Graph-structured Linear Programs: Proximal Methods and Rounding Schemes
The problem of computing a maximum a posteriori (MAP) configuration is a central computational challenge associated with Markov random fields. There has been some focus on “tr...
Pradeep Ravikumar, Alekh Agarwal, Martin J. Wainwr...