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» Distributed Computing with Imperfect Randomness
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IPPS
1999
IEEE
13 years 12 months ago
A Formal Definition of the Phenomenon of Collective Intelligence and its IQ Measure
This paper formalizes the concept of Collective Intelligence (C-I). Application of the Random PROLOG Processor (RPP) has allowed us to model the phenomenon of C-I in social structu...
Tadeusz Szuba
ICIP
2006
IEEE
14 years 9 months ago
Laplace Random Vectors, Gaussian Noise, and the Generalized Incomplete Gamma Function
Wavelet domain statistical modeling of images has focused on modeling the peaked heavy-tailed behavior of the marginal distribution and on modeling the dependencies between coeffi...
Ivan W. Selesnick
JMLR
2012
11 years 10 months ago
Randomized Optimum Models for Structured Prediction
One approach to modeling structured discrete data is to describe the probability of states via an energy function and Gibbs distribution. A recurring difficulty in these models is...
Daniel Tarlow, Ryan Prescott Adams, Richard S. Zem...
DCG
2008
104views more  DCG 2008»
13 years 7 months ago
Finding the Homology of Submanifolds with High Confidence from Random Samples
Recently there has been a lot of interest in geometrically motivated approaches to data analysis in high dimensional spaces. We consider the case where data is drawn from sampling...
Partha Niyogi, Stephen Smale, Shmuel Weinberger
SP
2006
IEEE
193views Security Privacy» more  SP 2006»
14 years 1 months ago
Analysis of the Linux Random Number Generator
Linux is the most popular open source project. The Linux random number generator is part of the kernel of all Linux distributions and is based on generating randomness from entrop...
Zvi Gutterman, Benny Pinkas, Tzachy Reinman