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ATAL
2003
Springer
15 years 12 months ago
Minimizing communication cost in a distributed Bayesian network using a decentralized MDP
In complex distributed applications, a problem is often decomposed into a set of subproblems that are distributed to multiple agents. We formulate this class of problems with a tw...
Jiaying Shen, Victor R. Lesser, Norman Carver
ESSMAC
2003
Springer
15 years 12 months ago
Self-tuning Control of Non-linear Systems Using Gaussian Process Prior Models
Gaussian Process prior models, as used in Bayesian non-parametric statistical models methodology are applied to implement a nonlinear adaptive control law. The expected value of a...
Daniel Sbarbaro, Roderick Murray-Smith
VTS
2002
IEEE
101views Hardware» more  VTS 2002»
15 years 11 months ago
Speeding Up The Byzantine Fault Diagnosis Using Symbolic Simulation
Fault diagnosis is to predict the potential fault sites in a logic IC. In this paper, we particularly address the problem of diagnosing faults that exhibit the so-called Byzantine...
Shi-Yu Huang
179
Voted
ICAPR
2001
Springer
15 years 11 months ago
Pattern Matching and Neural Networks Based Hybrid Forecasting System
In this paper we propose a Neural Net-PMRS hybrid for forecasting time-series data. The neural network model uses the traditional MLP architecture and backpropagation method of tr...
Sameer Singh, Jonathan E. Fieldsend
SIGGRAPH
1996
ACM
15 years 10 months ago
Consequences of Stratified Sampling in Graphics
Antialiased pixel values are often computed as the mean of N point samples. Using uniformly distributed random samples, the central limit theorem predicts a variance of the mean o...
Don P. Mitchell