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ICRA
2005
IEEE
103views Robotics» more  ICRA 2005»
10 years 4 months ago
A Model-Based Framework for Optimal Measurements in Machine Tool Calibration
— Calibration is the procedure of quantifying mechanical deficiencies of machines and compensating them by appropriate adjustment. This paper introduces a modelbased measurement...
D. Brunn, Uwe D. Hanebeck
ENVSOFT
2007
127views more  ENVSOFT 2007»
9 years 10 months ago
River model calibration, from guidelines to operational support tools
Numerical modelling is now used routinely to make predictions about the behaviour of environmental systems. Model calibration remains a critical step in the modelling process and ...
Jean-Philippe Vidal, Sabine Moisan, Jean-Baptiste ...
ECAI
2006
Springer
10 years 9 days ago
Calibrating Probability Density Forecasts with Multi-Objective Search
Abstract. In this paper, we show that the optimization of density forecasting models for regression in machine learning can be formulated as a multi-objective problem. We describe ...
Michael Carney, Padraig Cunningham
SBACPAD
2015
IEEE
48views Hardware» more  SBACPAD 2015»
4 years 6 months ago
Watt Watcher: Fine-Grained Power Estimation for Emerging Workloads
—Extensive research has focused on estimating power to guide advances in power management schemes, thermal hot spots, and voltage noise. However, simulated power models are slow ...
Michael LeBeane, Jee Ho Ryoo, Reena Panda, Lizy Ku...
ISCI
2008
165views more  ISCI 2008»
9 years 10 months ago
Support vector regression from simulation data and few experimental samples
This paper considers nonlinear modeling based on a limited amount of experimental data and a simulator built from prior knowledge. The problem of how to best incorporate the data ...
Gérard Bloch, Fabien Lauer, Guillaume Colin...
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