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» Uncertainty Measures of Rough Set Prediction
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ICRA
2005
IEEE
103views Robotics» more  ICRA 2005»
14 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
CDC
2009
IEEE
150views Control Systems» more  CDC 2009»
14 years 3 months ago
Cooperative adaptive sampling via approximate entropy maximization
— This work deals with a group of mobile sensors sampling a spatiotemporal random field whose mean is unknown and covariance is known up to a scaling parameter. The Bayesian pos...
Rishi Graham, Jorge Cortés
RSS
2007
176views Robotics» more  RSS 2007»
14 years 9 days ago
Active Policy Learning for Robot Planning and Exploration under Uncertainty
Abstract— This paper proposes a simulation-based active policy learning algorithm for finite-horizon, partially-observed sequential decision processes. The algorithm is tested i...
Ruben Martinez-Cantin, Nando de Freitas, Arnaud Do...
WSC
2007
14 years 1 months ago
The range of predictions for calibrated agent-based simulation models
Agent-based simulation is increasingly used to study systems in many areas of business and science. Using agentbased simulation for prediction could be very valuable. However, the...
DongFang Shi, Roger J. Brooks
BMCBI
2008
75views more  BMCBI 2008»
13 years 11 months ago
A three-state prediction of single point mutations on protein stability changes
Background: A basic question of protein structural studies is to which extent mutations affect the stability. This question may be addressed starting from sequence and/or from str...
Emidio Capriotti, Piero Fariselli, Ivan Rossi, Rit...