Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.
Sparse identification of nonlinear dynamical systems is an important project, directly addressing the physics community’s long-standing goal of data-driven discovery. Although many effective methods ...
Data-driven models that act as surrogates for computationally costly 3D topology optimization techniques are very popular because they help alleviate multiple time-consuming 3D finite element analyses ...
Astex Pharmaceuticals, 436 Cambridge Science Park, Milton Road, Cambridge CB4 0QA, U.K. Innovation Centre in Digital Molecular Technologies, Department of Chemistry, University of Cambridge, Lensfield ...
Neurodynamic Utility Toolbox for Magnetoencephalo- and Electroencephalography (NUTMEG) is an open-source MATLAB-based toolbox for the analysis and reconstruction of ...
We show that material plasticity can be precisely and efficiently predicted by deep-learning methods. This approach is fundamentally different from the century-old theory of continuum plasticity ...
EFANNA: an Extremely Fast Approximate Nearest Neighbor search Algorithm framework based on kNN graph
EFANNA uses a composite index to carry out ANN search, which includes an approximate kNN graph and a number of tree structures. They can be built by this library as a whole or seperately. You may ...
Natick, MA. MathWorks has introduced Release 2016a (R2016a) of its MATLAB and Simulink product families. This release includes the MATLAB Live Editor, which offers the ability to write, run, and ...
As of March 24, 2014, the MATLAB code supports the latest version of the L-BFGS-B solver (version 3.0), and is compatible with GNU Octave. Thank you to José Vallet for providing these updates. If you ...
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