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» On Boosting with Polynomially Bounded Distributions
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FOCS
2010
IEEE
13 years 7 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
14 years 1 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
12 years 9 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...
APPROX
2007
Springer
153views Algorithms» more  APPROX 2007»
14 years 4 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
14 years 3 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