This state-of-the-art survey is dedicated to the memory of Emmanuil Markovich Braverman (1931-1977), a pioneer in developing machine learning theory.
The 12 revised full papers and 4 short papers included in this volume were presented at the conference "Braverman Readings in Machine Learning: Key Ideas from Inception to Current State" held in Boston, MA, USA, in April 2017, commemorating the 40th anniversary of Emmanuil Braverman's decease. The papers present an overview of some of Braverman's ideas and approaches.
The collection is divided in three parts. The first part bridges the past and the present and covers the concept of kernel function and its application to signal and image analysis as well as clustering. The second part presents a set of extensions of Braverman's work to issues of current interest both in theory and applications of machine learning. The third part includes short essaysby a friend, a student, and a colleague.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Lev Rozonoer, West Newton, MA, USA;Boris Mirkin, National Research University Higher School of Economics, Moscow, Russian Federation;Ilya Muchnik, Rutgers University, Piscataway, NJ, USA.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This state-of-the-art survey is dedicated to the memory of Emmanuil Markovich Braverman(1931-1977), a pioneer in developing machine learning theory.The 12 revised full papers and 4 short papers included in this volume were presented at the conference 'Braverman Readings in Machine Learning: Key Ideas from Inception to Current State' held in Boston, MA, USA, in April 2017, commemorating the 40th anniversary of Emmanuil Braverman's decease. The papers present an overview of some of Braverman's ideas and approaches.The collection is divided in three parts.The first part bridges the past and the present and covers the concept of kernel function and its application to signal and image analysisas well as clustering.The second part presents a set of extensions of Braverman's work to issuesof current interest both in theory and applications of machine learning. The third partincludes short essays by a friend, a student, anda colleague. 368 pp. Englisch. N° de réf. du vendeur 9783319994918
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