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» Random k-GD-Sat Model and its Phase Transition
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ICML
2006
IEEE
15 years 10 months ago
A new approach to data driven clustering
We consider the problem of clustering in its most basic form where only a local metric on the data space is given. No parametric statistical model is assumed, and the number of cl...
Arik Azran, Zoubin Ghahramani
JOC
2011
104views more  JOC 2011»
14 years 14 days ago
On the Security of Oscillator-Based Random Number Generators
Physical random number generators (a.k.a. TRNGs) appear to be critical components of many cryptographic systems. Yet, such building blocks are still too seldom provided with a form...
Mathieu Baudet, David Lubicz, Julien Micolod, Andr...
JCSS
2011
154views more  JCSS 2011»
14 years 4 months ago
Model interoperability via Model Driven Development
It is widely recognised that software development is a complex process. Among the factors that contribute to its inherent complexity is the gap between the design and the formal a...
Mohamed Ariff Ameedeen, Behzad Bordbar, Rachid Ana...
JMLR
2010
145views more  JMLR 2010»
14 years 4 months ago
Parallelizable Sampling of Markov Random Fields
Markov Random Fields (MRFs) are an important class of probabilistic models which are used for density estimation, classification, denoising, and for constructing Deep Belief Netwo...
James Martens, Ilya Sutskever
IM
2008
14 years 9 months ago
The Structure of Geographical Threshold Graphs
We analyze the structure of random graphs generated by the geographical threshold model. The model is a generalization of random geometric graphs. Nodes are distributed in space, a...
Milan Bradonjic, Aric A. Hagberg, Allon G. Percus