Max-Min Representation of Piecewise Linear Functions
, 2000 It is shown that a piecewise linear function can be represented as a Max-Min polynomial of its linear components.
openaire +2 more sources
Time-constant absolute effect measures for time-to-event outcomes. [PDF]
BMC Med Res MethodolKuss O, Hoyer A.
europepmc +1 more source
Finding the piecewise linear frontier production function in DEA with interval data
, 2007 G.R. Jahanshahloo +3 more
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Stable parameterization of continuous and piecewise-linear functions
, 2023 Alexis Goujon +2 more
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When tiny convective spread affects a midlatitude jet: Spread sequence
Quarterly Journal of the Royal Meteorological Society, EarlyView.We investigate spread evolution by mesoscale convection from tiny initial condition uncertainty during a real event. There is significant variation among the systems in their propensity to interact with the jet stream, whereby variability in one system (due to convective and long‐wave radiative heating tendencies) tightly relates to Rossby‐like ...
Edward Groot, Michael Riemer
wiley +1 more source
Brain Amyloid Plaque Levels Affect Clinical Progression in Alzheimer Disease: Assessment of Amyloid PET and Change in CDR-SB Utilizing Semi-Mechanistic Model. [PDF]
CPT Pharmacometrics Syst PharmacolBhagunde P +7 more
europepmc +1 more source
Data assimilation with extremum Monte Carlo methods
Quarterly Journal of the Royal Meteorological Society, EarlyView.This study presents the extremum Monte Carlo filter as a data assimilation method and, in particular, a variant of the variational approach (three‐ and four‐dimensional variational), where the state estimates are obtained by solving an optimization problem numerically over a space of prediction functions, instead of the state space itself.
Karim Moussa, Siem Jan Koopman
wiley +1 more source
Calibration and Validation of an Autonomous, Novel, Low-Cost, Dynamic Flux Chamber for Measuring Landfill Methane Emissions. [PDF]
Sensors (Basel)Brown AG +8 more
europepmc +1 more source
Dynamic fluence map sequencing using piecewise linear leaf position\n functions [PDF]
, 2019 Matthew Kelly +3 more
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Loss Behavior in Supervised Learning With Entangled States
Advanced Quantum Technologies, EarlyView.Entanglement in training samples supports quantum supervised learning algorithm in obtaining solutions of low generalization error. Using analytical as well as numerical methods, this work shows that the positive effect of entanglement on model after training has negative consequences for the trainability of the model itself, while showing the ...
Alexander Mandl +4 more
wiley +1 more source