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"Regularization, optimization, kernels, and support vector machines" was published by Taylor & Francis in 2014 - Boca Raton and the language of the book is English.


“Regularization, optimization, kernels, and support vector machines” Metadata:

  • Title: ➤  Regularization, optimization, kernels, and support vector machines
  • Author: ➤  
  • Language: English
  • Publisher: Taylor & Francis
  • Publish Date:
  • Publish Location: Boca Raton

“Regularization, optimization, kernels, and support vector machines” Subjects and Themes:

Edition Specifications:

  • Pagination: pages cm

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"Regularization, optimization, kernels, and support vector machines" Description:

The Open Library:

"Obtaining reliable models from given data is becoming increasingly important in a wide range of different applications fields including the prediction of energy consumption, complex networks, environmental modelling, biomedicine, bioinformatics, finance, process modelling, image and signal processing, brain-computer interfaces, and others. In data-driven modelling approaches one has witnessed considerable progress in the understanding of estimating flexible nonlinear models, learning and generalization aspects, optimization methods, and structured modelling. One area of high impact both in theory and applications is kernel methods and support vector machines. Optimization problems, learning, and representations of models are key ingredients in these methods. On the other hand, considerable progress has also been made on regularization of parametric models, including methods for compressed sensing and sparsity, where convex optimization plays an important role. At the international workshop ROKS 2013 Leuven, 1 July 8-10, 2013, researchers from diverse fields were meeting on the theory and applications of regularization, optimization, kernels, and support vector machines. At this occasion the present book has been edited as a follow-up to this event, with a variety of invited contributions from presenters and scientific committee members. It is a collection of recent progress and advanced contributions on these topics, addressing methods including ..."--

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