WorldCat Linked Data Explorer

Turtle N-Triple JSON-LD RDF/XML HTML Contact Us Home

http://worldcat.org/entity/work/id/1149580320

Advances in Intelligent Signal Processing and Data Mining Theory and Applications

Open All Close All

type

about

http://schema.org/about

contributor

creator

description

http://schema.org/description

  • "The book presents some of the most efficient statistical and deterministic methods for information processing and applications in order to extract targeted information and find hidden patterns. The techniques presented range from Bayesian approaches and their variations such as sequential Monte Carlo methods, Markov Chain Monte Carlo filters, Rao Blackwellization, to the biologically inspired paradigm of Neural Networks and decomposition techniques such as Empirical Mode Decomposition, Independent Component Analysis and Singular Spectrum Analysis. The book is directed to the research students, professors, researchers and practitioners interested in exploring the advanced techniques in intelligent signal processing and data mining paradigms."

editor

genre

http://schema.org/genre

  • "Electronic books"
  • "Aufsatzsammlung"

name

http://schema.org/name

  • "Advances in Intelligent Signal Processing and Data Mining Theory and Applications"
  • "Advances in Intelligent Signal Processing and Data Mining Theory and Applications"@en
  • "Advances in intelligent signal processing and data mining theory and applications"
  • "Advances in intelligent signal processing and data mining : theory and applications"
  • "Advances in intelligent signal processing and data mining : theory and applications"@en

workExample