Machine Learning, Optimization, and Big Data

<div>Learning with discrete least squares on multivariate polynomial spaces using</div><div>evaluations at random or low-discrepancy point sets.-&nbsp;Automatic Tuning of Algorithms through Sensitivity Minimization.-&nbsp;Step down and step up statistical procedures for stock selection with Sharp&nbsp;ratio.- Differentiating the multipoint Expected Improvement for optimal batch design.-&nbsp;Dynamic Detection of Transportation Modes using Keypoint Prediction.-&nbsp;Effect of the dynamic topology on the performance of PSO-2S algorithm for&nbsp;continuous optimization.-&nbsp;Heuristic for Site-Dependent Truck and Trailer Routing Problem with Soft&nbsp;and Hard Time Windows and Split Deliveries.-&nbsp;Cross-Domain Matrix Factorization for Multiple Implicit-Feedback Domains.-&nbsp;Advanced Metamodeling Techniques Applied to Multidimensional Applications with Piecewise Responses.- Alternating direction method of multipliers for regularized multiclass support vector machines.-&nbsp;Tree-Based Response Surface Analysis.-&nbsp;A Single-Facility Manifold Location Routing Problem with an Application to Supply Chain Management and Robotics.-&nbsp;An Ecient Many-Core Implementation for Semi-Supervised Support Vector Machines.-&nbsp;Intent Recognition in a Simulated Maritime Multi-Agent Domain.-&nbsp;An Adaptive Classification Framework for Unsupervised Model Updating in&nbsp;Nonstationary Environments.-&nbsp;Global Optimization with Sparse and Local Gaussian Process Models.-&nbsp;Condense Mixed Convexity and Optimization with an Application in Data&nbsp;Service Optimization.-&nbsp;SoC-based pattern recognition device for Non Destructive Testing.</div>