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» Self-Randomized Exponentiation Algorithms
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NIPS
2008
15 years 1 months ago
Supervised Exponential Family Principal Component Analysis via Convex Optimization
Recently, supervised dimensionality reduction has been gaining attention, owing to the realization that data labels are often available and indicate important underlying structure...
Yuhong Guo
EVOW
2008
Springer
15 years 2 months ago
Enhancing Parameter Estimation of Biochemical Networks by Exponentially Scaled Search Steps
A fundamental problem of modelling in Systems Biology is to precisely characterise quantitative parameters, which are hard to measure experimentally. For this reason, it is common ...
Hendrik Rohn, Bashar Ibrahim, Thorsten Lenser, Tho...
93
Voted
TIT
2011
152views more  TIT 2011»
14 years 6 months ago
Fast Exponentiation Using Split Exponents
Abstract—We propose a new method to speed up discrete logarithm (DL)-based cryptosystems by considering a new variant of the DL problem, where the exponents are formed as e1 + α...
Jung Hee Cheon, Stanislaw Jarecki, Taekyoung Kwon,...
ESANN
2007
15 years 1 months ago
Exploring the causal order of binary variables via exponential hierarchies of Markov kernels
Abstract. We propose a new algorithm for estimating the causal structure that underlies the observed dependence among n (n ≥ 4) binary variables X1, . . . , Xn. Our inference pri...
Xiaohai Sun, Dominik Janzing
UAI
2004
15 years 1 months ago
Hybrid Influence Diagrams Using Mixtures of Truncated Exponentials
Mixtures of truncated exponentials (MTE) potentials are an alternative to discretization for representing continuous chance variables in influence diagrams. Also, MTE potentials c...
Barry R. Cobb, Prakash P. Shenoy