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EOR
2007
102views more  EOR 2007»
13 years 7 months ago
Sub-stochastic matrix analysis for bounds computation - Theoretical results
Performance evaluation of complex systems is a critical issue and bounds computation provides confidence about service quality, reliability, etc. of such systems. The stochastic ...
Serge Haddad, Patrice Moreaux
TNN
2008
102views more  TNN 2008»
13 years 7 months ago
Robust Synchronization of an Array of Coupled Stochastic Discrete-Time Delayed Neural Networks
Abstract--This paper is concerned with the robust synchronization problem for an array of coupled stochastic discrete-time neural networks with time-varying delay. The individual n...
J. Liang, Z. Wang, Y. Liu, X. Liu
DAC
2010
ACM
13 years 10 months ago
On the costs and benefits of stochasticity in stream processing
With the end of clock-frequency scaling, parallelism has emerged as the key driver of chip-performance growth. Yet, several factors undermine efficient simultaneous use of onchip ...
Raj R. Nadakuditi, Igor L. Markov
WAW
2007
Springer
157views Algorithms» more  WAW 2007»
14 years 1 months ago
Stochastic Kronecker Graphs
A random graph model based on Kronecker products of probability matrices has been recently proposed as a generative model for large-scale real-world networks such as the web. This...
Mohammad Mahdian, Ying Xu 0002
ICCAD
2005
IEEE
106views Hardware» more  ICCAD 2005»
14 years 1 months ago
Fast balanced stochastic truncation via a quadratic extension of the alternating direction implicit iteration
— Balanced truncation (BT) model order reduction (MOR) is known for its superior accuracy and computable error bounds. Balanced stochastic truncation (BST) is a particular BT pro...
Ngai Wong, Venkataramanan Balakrishnan