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DMIN
2006
125views Data Mining» more  DMIN 2006»
15 years 4 months ago
Privacy-Preserving Bayesian Network Learning From Heterogeneous Distributed Data
In this paper, we propose a post randomization technique to learn a Bayesian network (BN) from distributed heterogeneous data, in a privacy sensitive fashion. In this case, two or ...
Jianjie Ma, Krishnamoorthy Sivakumar
IJNSEC
2008
106views more  IJNSEC 2008»
15 years 3 months ago
Parallel Hardware Architectures for the Cryptographic Tate Pairing
Identity-based cryptography uses pairing functions,which are sophisticated bilinear maps defined on elliptic curves.Computing pairings efficiently in software is presently a relev...
Guido Marco Bertoni, Luca Breveglieri, Pasqualina ...
139
Voted
NIPS
2008
15 years 4 months ago
Support Vector Machines with a Reject Option
We consider the problem of binary classification where the classifier may abstain instead of classifying each observation. The Bayes decision rule for this setup, known as Chow�...
Yves Grandvalet, Alain Rakotomamonjy, Joseph Keshe...
168
Voted
TON
2010
162views more  TON 2010»
14 years 10 months ago
Fast Algorithms for Resource Allocation in Wireless Cellular Networks
Abstract--We consider a scheduled orthogonal frequency division multiplexed (OFDM) wireless cellular network where the channels from the base-station to the mobile users undergo fl...
Ritesh Madan, Stephen P. Boyd, Sanjay Lall
122
Voted
AAAI
1994
15 years 4 months ago
Improving Learning Performance Through Rational Resource Allocation
This article shows how rational analysis can be used to minimize learning cost for a general class of statistical learning problems. We discuss the factors that influence learning...
Jonathan Gratch, Steve A. Chien, Gerald DeJong