Store besparelser
Hurtig levering
Gemte
Log ind
0
Kurv
Kurv
Data-Driven Computational Neuroscience
- Machine Learning and Statistical Models
Engelsk Hardback
Data-Driven Computational Neuroscience
- Machine Learning and Statistical Models
Engelsk Hardback

1.017 kr
Tilføj til kurv
Sikker betaling
23 - 25 hverdage

Om denne bog
Data-driven computational neuroscience facilitates the transformation of data into insights into the structure and functions of the brain. This introduction for researchers and graduate students is the first in-depth, comprehensive treatment of statistical and machine learning methods for neuroscience. The methods are demonstrated through case studies of real problems to empower readers to build their own solutions. The book covers a wide variety of methods, including supervised classification with non-probabilistic models (nearest-neighbors, classification trees, rule induction, artificial neural networks and support vector machines) and probabilistic models (discriminant analysis, logistic regression and Bayesian network classifiers), meta-classifiers, multi-dimensional classifiers and feature subset selection methods. Other parts of the book are devoted to association discovery with probabilistic graphical models (Bayesian networks and Markov networks) and spatial statistics with point processes (complete spatial randomness and cluster, regular and Gibbs processes). Cellular, structural, functional, medical and behavioral neuroscience levels are considered.
Product detaljer
Sprog:
Engelsk
Sider:
708
ISBN-13:
9781108493703
Indbinding:
Hardback
Udgave:
ISBN-10:
110849370X
Kategori:
Udg. Dato:
26 nov 2020
Længde:
45mm
Bredde:
259mm
Højde:
185mm
Forlag:
Cambridge University Press
Oplagsdato:
26 nov 2020
Kategori sammenhænge