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Showing 1 to 3 of 3 for “"adaptive regularization"”.
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Flows, Submodularity, Sparsity, and Beyond: Continuous Optimization Insights for Discrete Problems
… structure. We introduce a new technique, called adaptive regularization, which eliminates the sparsity performance degradation caused by ℓ₂ projections onto structured non-convex domains, like the set of sparse vectors or low rank matrices. This leads to improving the sparsity guarantee of one of …
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Advanced Techniques For Prediction of Forest Above Ground Biomass Using Satellite Remote Sensing Data
… A systematic framework involving an adaptive regularization method was implemented to observe and quantify the response linked to various characteristics of the SMS data. The second contribution presents a dynamic generative neural network architecture for modelling AGB using …