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Supervised Sparse Learning with Applications in Bioinformatics
(2018-08-23)
In machine learning and mathematical optimization, sparse learning is the use of mathematical norms such as L1-norm, group norm and L21-norm in order to seek a trade-off between the goodness-of-fit measure and sparsity of ...
Using Approximate Dynamic Programming to Control an Electric Vehicle Charging Station System
(2017-08-11)
Dynamic programming (DP) as a mathematical programming approach to optimize a system evolving over time has been applied to solve the multi-stage optimization problems in a lot of areas such as manufacturing systems and ...