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Found 3 papers, 1 papers with code
Soil analysis with machine-learning-based processing of stepped-frequency GPR field measurements: Preliminary study
Ground Penetrating Radar (GPR) has been widely studied as a tool for extracting soil parameters relevant to agriculture and horticulture.
Majorization-Minimization for sparse SVMs
Several decades ago, Support Vector Machines (SVMs) were introduced for performing binary classification tasks, under a supervised framework.
On the efficiency of Stochastic Quasi-Newton Methods for Deep Learning
While first-order methods are popular for solving optimization problems that arise in large-scale deep learning problems, they come with some acute deficiencies.
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