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AI
2010
Springer
13 years 7 months ago
Understanding the scalability of Bayesian network inference using clique tree growth curves
Bayesian networks (BNs) are used to represent and ef ciently compute with multi-variate probability distributions in a wide range of disciplines. One of the main approaches to per...
Ole J. Mengshoel
CORR
2010
Springer
160views Education» more  CORR 2010»
13 years 7 months ago
New Results on Quantum Property Testing
We present several new examples of speed-ups obtainable by quantum algorithms in the context of property testing. First, motivated by sampling algorithms, we consider probability d...
Sourav Chakraborty, Eldar Fischer, Arie Matsliah, ...
PODS
2008
ACM
109views Database» more  PODS 2008»
14 years 7 months ago
Time-decaying aggregates in out-of-order streams
Processing large data streams is now a major topic in data management. The data involved can be truly massive, and the required analyses complex. In a stream of sequential events ...
Graham Cormode, Flip Korn, Srikanta Tirthapura
CIE
2007
Springer
14 years 1 months ago
From Logic to Physics: How the Meaning of Computation Changed over Time
The intuition guiding the de…nition of computation has shifted over time, a process that is re‡ected in the changing formulations of the Church-Turing thesis. The theory of co...
Itamar Pitowsky
CRYPTO
2003
Springer
156views Cryptology» more  CRYPTO 2003»
14 years 19 days ago
Fast Algebraic Attacks on Stream Ciphers with Linear Feedback
Many popular stream ciphers apply a filter/combiner to the state of one or several LFSRs. Algebraic attacks on such ciphers [10, 11] are possible, if there is a multivariate relat...
Nicolas Courtois