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» On Boosting with Polynomially Bounded Distributions
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FOCS
2010
IEEE
14 years 9 months ago
Boosting and Differential Privacy
Boosting is a general method for improving the accuracy of learning algorithms. We use boosting to construct improved privacy-preserving synopses of an input database. These are da...
Cynthia Dwork, Guy N. Rothblum, Salil P. Vadhan
ATAL
2006
Springer
15 years 3 months ago
No-commitment branch and bound search for distributed constraint optimization
We present a new polynomial-space algorithm for solving Distributed Constraint Optimization problems (DCOP). The algorithm, called NCBB, is branch and bound search with modificati...
Anton Chechetka, Katia P. Sycara
CP
2011
Springer
13 years 11 months ago
Pseudo-Tree-Based Incomplete Algorithm for Distributed Constraint Optimization with Quality Bounds
A Distributed Constraint Optimization Problem (DCOP) is a fundamental problem that can formalize various applications related to multi-agent cooperation. Since it is NP-hard, consi...
Tenda Okimoto, Yongjoon Joe, Atsushi Iwasaki, Mako...
94
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APPROX
2007
Springer
153views Algorithms» more  APPROX 2007»
15 years 5 months ago
Distribution-Free Testing Lower Bounds for Basic Boolean Functions
: In the distribution-free property testing model, the distance between functions is measured with respect to an arbitrary and unknown probability distribution D over the input dom...
Dana Glasner, Rocco A. Servedio
CONCUR
2003
Springer
15 years 4 months ago
Composition of Cryptographic Protocols in a Probabilistic Polynomial-Time Process Calculus
We describe a probabilistic polynomial-time process calculus for analyzing cryptographic protocols and use it to derive compositionality properties of protocols in the presence of ...
Paulo Mateus, John C. Mitchell, Andre Scedrov