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Data-driven computational neuroscience: machine learning and statistical models/ Concha Bielza and Pedro Larranaga

By: Contributor(s): Publication details: United Kingdom: CUP, 2021Description: xviii, 689 pages diagrams, illustrations 26 cmISBN:
  • 9781108493703
Subject(s): DDC classification:
  • 23 612.80727 B586
Contents:
Part I Introduction -- 1. Computational Neuroscience -- Part II Statistics -- 2. Exploratory data analysis -- 3. Probability theory and random variables -- Part III Supervised classification -- 5. Performance evaluation -- 6.Feature subset selection -- 7. Non- probabilistic classifiers -- 8. Probabilistic classifiers -- 9. Metaclassifiers -- 10. Multidimensional classifiers -- Part IV Unsupervised classification -- 11. Non-probabilistic clustering -- 12. Probabilistic clustering -- Part V Probabilistic graphical models -- 13. Bayesian networks -- 14. Markov networks -- Part VI Spatial Statistics -- 15. Spatial statistics
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Holdings
Item type Current library Call number Status Date due Barcode Item holds
Books ISI Library, Kolkata 612.80727 B586 (Browse shelf(Opens below)) Available 138517
Total holds: 0

Includes bibliographical references and index

Part I Introduction -- 1. Computational Neuroscience -- Part II Statistics -- 2. Exploratory data analysis -- 3. Probability theory and random variables -- Part III Supervised classification -- 5. Performance evaluation -- 6.Feature subset selection -- 7. Non- probabilistic classifiers -- 8. Probabilistic classifiers -- 9. Metaclassifiers -- 10. Multidimensional classifiers -- Part IV Unsupervised classification -- 11. Non-probabilistic clustering -- 12. Probabilistic clustering -- Part V Probabilistic graphical models -- 13. Bayesian networks -- 14. Markov networks -- Part VI Spatial Statistics -- 15. Spatial statistics

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