Sparse Modeling

Sparse Modeling

Genady Grabarnik / Irina Rish

149,67 €
IVA incluido
Consulta disponibilidad
Editorial:
Taylor & Francis Ltd
Año de edición:
2014
ISBN:
9781439828694

Selecciona una librería:

  • Librería Samer Atenea
  • Librería Aciertas (Toledo)
  • Kálamo Books
  • Librería Perelló (Valencia)
  • Librería Elías (Asturias)
  • Donde los libros
  • Librería Kolima (Madrid)
  • Librería Proteo (Málaga)
¡Pregúntanos!
Sobre IBD

This book provides an introduction to the growing field of sparse modeling, including application examples, problem formulations that yield sparse solutions, algorithms for finding such solutions, and recent theoretical results on sparse recovery. It describes optimization problems involving commonly used sparsity-enforcing approaches as well as sparse recovery problems that extend the basic formulation to more sophisticated forms of structured sparsity and to different loss functions. The book also covers sparse graphical models, dictionary learning, and sparse matrix factorizations.

Artículos relacionados

  • Neural Networks with Python
    Mei Wong
    'Neural Networks with Python' serves as an introductory guide for those taking their first steps into neural network development with Python. It’s tailored to assist beginners in understanding the foundational elements of neural networks and to provide them with the confidence to delve deeper into this intriguing area of machine learning.In this book, readers will embark on a l...
    Disponible

    56,97 €

  • AI and Deep Learning Fundamentals
    BalaAnand Muthu / Jayanthi S / Sivaparthipan C. B.
    Welcome to the world of AI and Deep Learning! This book is a culmination of years of research, innovation, and practical insights into the fascinating realms of artificial intelligence and deep learning. In this rapidly evolving landscape, the convergence of neuroscience, mathematics, and computer science has sparked a revolution, redefining how machines perceive, learn, and in...
    Disponible

    47,00 €

  • IoT Application of Machine Learning and Deep Learning
    Dhiliphan Rajkumar T / Jeyaranjani J / Sathesh Kumar K
    The fusion of the Internet of Things (IoT) with the prowess of Machine Learning and Deep Learning has ignited a revolution in the realm of technology. 'IoT Application of Machine Learning and Deep Learning' is a comprehensive journey into this transformative synergy, designed to illuminate the convergence of these cutting-edge domains. This book aims to be a guiding light for e...
    Disponible

    43,31 €

  • Algorithmic Information Theory
    Gregory J. Chaitin / Gregory JChaitin
    ...
    Disponible

    84,56 €

  • Bounded Queries in Recursion Theory
    G. Martin / W. Gasarch / William I. Gasarch
    One of the major concerns of theoretical computer science is the classifi­ cation of problems in terms of how hard they are. The natural measure of difficulty of a function is the amount of time needed to compute it (as a function of the length of the input). Other resources, such as space, have also been considered. In recursion theory, by contrast, ...
  • Call-By-Push-Value
    P.B. Levy
    Call-by-push-value is a programming language paradigm that, surprisingly, breaks down the call-by-value and call-by-name paradigms into simple primitives. This monograph, written for graduate students and researchers, exposes the call-by-push-value structure underlying a remarkable range of semantics, including operational semantics, domains, possible...

Otros libros del autor

  • Sparse Modeling
    Genady Grabarnik / Irina Rish
    This book provides an introduction to the growing field of sparse modeling, including application examples, problem formulations that yield sparse solutions, algorithms for finding such solutions, and recent theoretical results on sparse recovery. It describes optimization problems involving commonly used sparsity-enforcing approaches as well as ...
    Disponible

    85,38 €