Applications of l1 regularisation
, 2011 The lasso algorithm for variable selection in linear models, introduced by Tibshirani, works by imposing an $l_1$~norm bound constraint on the variables in a least squares model and then tuning the model estimation calculation using this bound.
M. R. Osborne, T. Prvan
semanticscholar +3 more sources
Tomographic Reconstruction of 2-D Atmospheric Trace Gas Distributions from Active DOAS Measurements
, 2007 Applying the tomographic principle to active DOAS remote sensing leads to a novel technique for the measurement of atmospheric trace gas distributions. Standard analytical methods for the reconstruction of a scalar field from its line integrals cannot be
A. Hartl
semanticscholar +2 more sources
Integrable Systems of the Intermediate Long Wave Type in 2 + 1 Dimensions [PDF]
Social Science Research Network, 2021 We classify 2+1 dimensional integrable systems with nonlocality of the intermediate long wave type. Links to the 2+1 dimensional waterbag system are established.
E. Ferapontov +3 more
semanticscholar +1 more source
Continuous modelling of global navigation satellite system multipath errors for sidereal filtering
IET radar, sonar & navigation, 2020 Carrier-phase multipath effect is one of the major error sources in static global navigation satellite systems positioning applications. Sidereal filtering is an effective approach for mitigating multipath error, utilising the multipath error of the ...
Ting Zhu +4 more
semanticscholar +1 more source
Ageing of an oscillator due to frequency switching in physical systems [PDF]
, 2021 The control action governing an oscillator may have discontinuities that produce a switching between two frequencies as demonstrated in BONET, Carles, et al.
Hriscu, Lavinia Beatrice
core +1 more source
Object segmentation by fitting statistical shape models : a Kernel-based approach with application to wisdom tooth segmentation from CBCT images [PDF]
, 2014 Image segmentation is an important and challenging task in medical image analysis. Especially from low-quality images, segmentation algorithms have to cope with misleading background clutter, insufficient object boundaries and noise in the image ...
Jud, Christoph
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, 2017 In this paper, the electric distribution network expansion planning problem (EDNEPP) was solved by a mixed binary integer programming (MBIP) formulation of the network, where the steady-state operation of the network was modelled with non-linear ...
L. Ogunwolu +6 more
semanticscholar +1 more source
Harnessing Machine Learning to Understand and Design Disordered Solids
Advanced Intelligent Discovery, EarlyView.This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
wiley +1 more source
Optimizing 3D Bin Packing of Heterogeneous Objects Using Continuous Transformations in SE(3)
Advanced Intelligent Systems, EarlyView.This article presents a method for solving the three‐dimensional bin packing problem for heterogeneous objects using continuous rigid‐body transformations in SE(3). A heuristic optimization framework combines signed‐distance functions, neural network approximations, point‐cloud bin modeling, and physics simulation to ensure feasibility and stability ...
Michele Angelini, Marco Carricato
wiley +1 more source
Caracterización de yacimientos usando el método de conjuntos de nivel [PDF]
, 2007 Un área importante en gestión de yacimientos de petróleo es la caracterización de yacimientos con más de un tipo de roca (litofacie) usando datos de producción. La solución de este problema es un reto importante en el área de matemáticas aplicadas. Desde
Villegas Velásquez, Rossmary
core