Regularized System Identification: Learning Dynamic Models from Data Pillonetto Gianluigi
Regularized System Identification: Learning Dynamic Models from Data Pillonetto Gianluigi This open access book provides a comprehensive treatment of recent developments in kernel-based…
Specifikacia Regularized System Identification: Learning Dynamic Models from Data Pillonetto Gianluigi
Regularized System Identification: Learning Dynamic Models from Data Pillonetto Gianluigi
This open access book provides a comprehensive treatment of recent developments in kernel-based identification that are of interest to anyone engaged in learning dynamic systems from data. The authors' reformulation of the identification problem in the light of regularization theory not only offers new insight on classical questions, but paves the way to new and powerful algorithms for a variety of linear and nonlinear problems. The reader is led step by step into understanding of a novel paradigm that leverages the power of machine learning without losing sight of the system-theoretical principles of black-box identification.
Many examples, also from real-world applications, illustrate the comparative Regression methods such as regularization networks and support vector machines are the basis of techniques that extend the function-estimation problem to the estimation of dynamic models.