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NN
1997
Springer
174views Neural Networks» more  NN 1997»
15 years 1 months ago
Learning Dynamic Bayesian Networks
Bayesian networks are directed acyclic graphs that represent dependencies between variables in a probabilistic model. Many time series models, including the hidden Markov models (H...
Zoubin Ghahramani
CCGRID
2007
IEEE
15 years 3 months ago
Performance Evaluation in Grid Computing: A Modeling and Prediction Perspective
Experimental performance studies on computer systems, including Grids, require deep understandings on their workload characteristics. The need arises from two important and closel...
Hui Li
BIRTHDAY
2004
Springer
15 years 2 months ago
On the Formal Modelling of Trust in Reputation-Based Systems
In a reputation-based trust management system an entity’s behaviour determines its reputation which in turn affects other entities interaction with it. We present a mathematical...
Mogens Nielsen, Karl Krukow
ISPD
2000
ACM
86views Hardware» more  ISPD 2000»
15 years 1 months ago
Simulating frequency-dependent current distribution for inductance modeling of on-chip copper interconnects
500+ MHz designs using deep-submicron (DSM) copper interconnects require accurate and efficient modeling of cladding-metals’ frequency-dependent impedance [1]. In this paper, fo...
Li-Fu Chang, Keh-Jeng Chang, Robert Mathews
85
Voted
HICSS
2008
IEEE
105views Biometrics» more  HICSS 2008»
14 years 9 months ago
Evaluating the Effect of Upgrade, Control and Development Strategies on Robustness and Failure Risk of the Power Transmission Gr
We use the OPA complex systems model of the power transmission system to investigate the effect of a series of different network upgrade scenarios on the long time dynamics and th...
David E. Newman, Benjamin A. Carreras, Vickie E. L...