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IROS
2008
IEEE
211views Robotics» more  IROS 2008»
15 years 3 months ago
GP-BayesFilters: Bayesian filtering using Gaussian process prediction and observation models
Abstract— Bayesian filtering is a general framework for recursively estimating the state of a dynamical system. The most common instantiations of Bayes filters are Kalman filt...
Jonathan Ko, Dieter Fox
97
Voted
IJRR
2010
173views more  IJRR 2010»
14 years 8 months ago
Planning and Implementing Trajectories for Autonomous Underwater Vehicles to Track Evolving Ocean Processes Based on Predictions
Path planning and trajectory design for autonomous underwater vehicles (AUVs) is of great importance to the oceanographic research community because automated data collection is b...
Ryan N. Smith, Yi Chao, Peggy Li, David A. Caron, ...
AIME
2009
Springer
15 years 2 months ago
Prediction of Mechanical Lung Parameters Using Gaussian Process Models
Abstract. Mechanical ventilation can cause severe lung damage by inadequate adjustment of the ventilator. We introduce a Machine Learning approach to predict the pressure-dependent...
Steven Ganzert, Stefan Kramer, Knut Möller, D...
WSC
2007
14 years 11 months ago
Predicting the impact on business performance of enhanced information system using business process simulation
The estimation of the impact on performance in business process (BP) by introducing an information system (IS) is an important practical problem in investment appraisal. This pape...
Yifei Tan, Soemon Takakuwa
81
Voted
IJIT
2004
14 years 10 months ago
Adaptive Algorithm to Predict the QoS of Web Processes and Workflows
Workflow Management Systems (WfMS) allow organizations to streamline and automate business processes and reengineer their structure. One important requirement for this type of syst...
Jorge Cardoso