The Resource Statistical analysis techniques in particle physics : fits, density estimation and supervised learning, Ilya Narsky and Frank C. Porter

Statistical analysis techniques in particle physics : fits, density estimation and supervised learning, Ilya Narsky and Frank C. Porter

Label
Statistical analysis techniques in particle physics : fits, density estimation and supervised learning
Title
Statistical analysis techniques in particle physics
Title remainder
fits, density estimation and supervised learning
Statement of responsibility
Ilya Narsky and Frank C. Porter
Creator
Contributor
Author
Subject
Language
eng
Summary
Modern analysis of HEP data needs advanced statistical tools to separate signal from background. This is the first book which focuses on machine learning techniques. It will be of interest to almost every high energy physicist, and, due to its coverage, suitable for students
Cataloging source
EBLCP
Dewey number
530.4
Illustrations
illustrations
Index
index present
LC call number
QC174.8
Literary form
non fiction
Nature of contents
dictionaries
Label
Statistical analysis techniques in particle physics : fits, density estimation and supervised learning, Ilya Narsky and Frank C. Porter
Publication
Copyright
Note
Includes index
Bibliography note
Includes bibliographical references and index
http://library.link/vocab/branchCode
  • net
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
Why We Wrote This Book and How You Should Read It -- Parametric Likelihood Fits -- Goodness of Fit -- Resampling Techniques -- Density Estimation -- Basic Concepts and Definitions of Machine Learning -- Data Preprocessing -- Linear Transformations and Dimensionality Reduction -- Introduction to Classification -- Assessing Classifier Performance -- Linear and Quadratic Discriminant Analysis, Logistic Regression, and Partial Least Squares Regression -- Neural Networks -- Local Learning and Kernel Expansion -- Decision Trees -- Ensemble Learning -- Reducing Multiclass to Binary -- How to Choose the Right Classifier for Your Analysis and Apply It Correctly -- Methods for Variable Ranking and Selection -- Bump Hunting in Multivariate Data -- Software Packages for Machine Learning -- Appendix A: Optimization Algorithms
Control code
ocn861559452
Dimensions
unknown
Extent
1 online resource (xvii, 441 pages)
Form of item
online
Isbn
9783527410866
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other physical details
illustrations
http://library.link/vocab/ext/overdrive/overdriveId
534137
http://library.link/vocab/recordID
.b29216096
Specific material designation
remote
System control number
  • (OCoLC)861559452
  • pebcs1306028868

Library Locations

    • Deakin University Library - Geelong Waurn Ponds CampusBorrow it
      75 Pigdons Road, Waurn Ponds, Victoria, 3216, AU
      -38.195656 144.304955
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