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HPDC
2007
IEEE
14 years 2 months ago
A statistical approach to risk mitigation in computational markets
We study stochastic models to mitigate the risk of poor Quality-of-Service (QoS) in computational markets. Consumers who purchase services expect both price and performance guaran...
Thomas Sandholm, Kevin Lai
ICCS
2007
Springer
13 years 9 months ago
Planet-in-a-Bottle: A Numerical Fluid-Laboratory System
Abstract. Humanity’s understanding of the Earth’s weather and climate depends critically on accurate forecasting and state-estimation technology. It is not clear how to build a...
Chris Hill, Bradley C. Kuszmaul, Charles E. Leiser...
AROBOTS
2011
13 years 2 months ago
Learning GP-BayesFilters via Gaussian process latent variable models
Abstract— GP-BayesFilters are a general framework for integrating Gaussian process prediction and observation models into Bayesian filtering techniques, including particle filt...
Jonathan Ko, Dieter Fox
CDC
2010
IEEE
151views Control Systems» more  CDC 2010»
13 years 2 months ago
Convergence of discrete-time approximations of constrained linear-quadratic optimal control problems
Abstract-- Continuous-time linear constrained optimal control problems are in practice often solved using discretization techniques, e.g. in model predictive control (MPC). This re...
Lanshan Han, M. Kanat Camlibel, Jong-Shi Pang, W. ...
SBRN
2000
IEEE
14 years 8 days ago
Non-Linear Modelling and Chaotic Neural Networks
This paper proposes a simple methodology to construct an iterative neural network which mimics a given chaotic time series. The methodology uses the Gamma test to identify a suita...
Antonia J. Jones, Steve Margetts, Peter Durrant, A...