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Comparative Evaluation of Machine Learning and Conventional Material Decomposition Algorithms for Spectral Chest Radiography Using a CdTe Photon-Counting Detector. [PDF]
Sensors (Basel)Marupudi S, Ghammraoui B.
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Forward Models for Physiological Motor Control
Neural Networks, 1996Based on theoretical and computational studies it has been suggested that the central nervous system (CNS) internally simulates the behaviour of the motor system in planning, control and learning. Such an internal "forward" model is a representation of the motor system that uses the current state of the motor system and motor command to predict the ...
R Chris Miall, Daniel M Wolpert
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Modeling the Forward Surface of Mortality
SIAM Journal on Financial Mathematics, 2012Longevity risk constitutes an important risk factor for insurance companies and pension plans. For its analysis, but also for evaluating mortality-contingent structured financial products, modeling approaches allowing for uncertainties in mortality projections are needed.
Daniel Bauer 0003 +2 more
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Model Decomposition for Forward Model Approximation
2018 IEEE Symposium Series on Computational Intelligence (SSCI), 2018In this paper we propose a model decomposition architecture, which advances on our previous attempts of learning an approximated forward model for unknown games [1]. The developed model architecture is based on design constraints of the General Video Game Artificial Intelligence Competition and the Video Game Definition Language. Our agent first builds
Alexander Dockhorn +2 more
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A performance model for Forward XPath
2012 International Conference on High Performance Computing & Simulation (HPCS), 2012XML is a key standard for manipulating data on the Internet. However, querying large volume of XML data represents a bottleneck for several data intensive applications. Many modern applications require processing of massive streams of XML data, creating difficult technical challenges.
Muath Alrammal, Gaétan Hains
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Ellipsoidal electrogastrographic forward modelling
Physics in Medicine and Biology, 2005The theoretical and computational study of the electromagnetic forward and inverse problems in ellipsoidal geometry is important in electrogastrography because the geometry of the human stomach can be well approximated using this idealized body. Moreover, the anisotropies inherent to this organ can be highlighted by the characteristics of the electric ...
Andrei, Irimia, L Alan, Bradshaw
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Learning tracking control with forward models
2012 IEEE International Conference on Robotics and Automation, 2012Performing task-space tracking control on redundant robot manipulators is a difficult problem. When the physical model of the robot is too complex or not available, standard methods fail and machine learning algorithms can have advantages. We propose an adaptive learning algorithm for tracking control of underactuated or non-rigid robots where the ...
Botond Bocsi +3 more
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A forward model for maximum expiration
Computers in Biology and Medicine, 1998The maximum expiratory flow-volume (MEFV) curve is a sensitive test of respiratory mechanics. Several mathematical models for forced expiration have been developed, but they suffer from various shortcomings. It is impossible to calculate the parts of the MEFV curve beyond the flow limiting conditions and computational algorithms do not allow a direct ...
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