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162
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CIE
2006
Springer
15 years 9 months ago
Lower Bounds Using Kolmogorov Complexity
Abstract. In this paper, we survey a few recent applications of Kolmogorov complexity to lower bounds in several models of computation. We consider KI complexity of Boolean functio...
Sophie Laplante
186
Voted
ML
2000
ACM
244views Machine Learning» more  ML 2000»
15 years 5 months ago
Learnable Evolution Model: Evolutionary Processes Guided by Machine Learning
A new class of evolutionary computation processes is presented, called Learnable Evolution Model or LEM. In contrast to Darwinian-type evolution that relies on mutation, recombinat...
Ryszard S. Michalski
HPCN
1994
Springer
15 years 10 months ago
Communication Cost Reduction for Krylov Methods on Parallel Computers
On large distributed memory parallel computers the global communication cost of inner products seriously limits the performance of Krylov subspace methods 3]. We consider improved ...
Eric de Sturler, Henk A. van der Vorst
EUROCRYPT
2010
Springer
15 years 11 months ago
Protecting Circuits from Leakage: the Computationally-Bounded and Noisy Cases
Abstract. Physical computational devices leak side-channel information that may, and often does, reveal secret internal states. We present a general transformation that compiles an...
Sebastian Faust, Tal Rabin, Leonid Reyzin, Eran Tr...
CORR
2007
Springer
136views Education» more  CORR 2007»
15 years 6 months ago
The analytic computability of the Shannon transform for a large class of random matrix channels
We define a class of “algebraic” random matrix channels for which one can generically compute the limiting Shannon transform using numerical techniques and often enumerate th...
N. Raj Rao