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PE
2002
Springer
124views Optimization» more  PE 2002»
13 years 8 months ago
Continuous-time hidden Markov models for network performance evaluation
In this paper, we study the use of continuous-time hidden Markov models (CT-HMMs) for network protocol and application performance evaluation. We develop an algorithm to infer the...
Wei Wei, Bing Wang, Donald F. Towsley
TC
2002
13 years 8 months ago
Performance Modeling and Prediction of Nondedicated Network Computing
The low cost and wide availability of networks of workstations have made them an attractive solution for high performance computing. However, while a network of workstations may be...
Linguo Gong, Xian-He Sun, Edward F. Watson
IJIT
2004
13 years 9 months ago
Application of Neural Networks in Financial Data Mining
This paper deals with the application of a well-known neural network technique, multi-layer back-propagation (BP) neural network, in financial data mining. A modified neural networ...
Defu Zhang, Qingshan Jiang, Xin Li
BIOSURVEILLANCE
2008
Springer
13 years 10 months ago
Dynamic Network Model for Predicting Occurrences of Salmonella at Food Facilities
Salmonella is among the most common food borne illnesses which may result from consumption of contaminated products. In this paper we model the co-occurrence data between USDA-cont...
Purnamrita Sarkar, Lujie Chen, Artur Dubrawski
IJON
2006
160views more  IJON 2006»
13 years 8 months ago
Attractor dynamics in a modular network model of the cerebral cortex
ional models of cortical associative memory often take a top-down approach. We have previously described such an abstract model with a hypercolumnar structure. Here we explore a s...
Mikael Lundqvist, Martin Rehn, Anders Lansner