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UAI
1997
15 years 7 months ago
A Bayesian Approach to Learning Bayesian Networks with Local Structure
Recently several researchers have investigated techniques for using data to learn Bayesian networks containing compact representations for the conditional probability distribution...
David Maxwell Chickering, David Heckerman, Christo...
ICASSP
2011
IEEE
14 years 10 months ago
Optimal structure of memory models for lossless compression of binary image contours
In this paper we study various chain codes, which are representations of binary image contours, in terms of their ability to compress in the best way the contour information using...
Ioan Tabus, Septimia Sarbu
ICDCS
2011
IEEE
14 years 6 months ago
Privacy-Preserving Query over Encrypted Graph-Structured Data in Cloud Computing
— In the emerging cloud computing paradigm, data owners become increasingly motivated to outsource their complex data management systems from local sites to the commercial public...
Ning Cao, Zhenyu Yang, Cong Wang, Kui Ren, Wenjing...
CIE
2005
Springer
16 years 2 days ago
Kripke Models, Distributive Lattices, and Medvedev Degrees
We define a variant of the standard Kripke semantics for intuitionistic logic, motivated by the connection between constructive logic and the Medvedev lattice. We show that while...
Sebastiaan Terwijn
WSC
2000
15 years 7 months ago
Simulation from non-standard distributions using envelope methods
This paper considers the development of envelope methods as a tool for simulation. Envelope methods are based on the construction of simple envelopes to functions. The proposed en...
Michael J. Evans, Tim B. Swartz