rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Statistical analysis techniques in particle physics
    sub title: fits, density estimation and supervised learning
  name:
    name part: Narsky, Ilya
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Porter, Frank Clifford
    role:
      role term: author.
  type of resource: text
  genre: bibliography
  origin info:
    place:
      place term: gr
    date issued: 2014
    copyright date: 2013
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (xvii, 441 pages) : illustrations
  abstract: 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.
  table of 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.
  note: Ilya Narsky and Frank C. Porter.
  note: Includes index.
  note: Includes bibliographical references and index.
  subject:
    topic: Particles (Nuclear physics)
    topic: Statistical methods
  subject:
    topic: Physics
  subject:
    topic: Condensed matter
  subject:
    topic: Physics
  classification: QC174.8 .N37 2014
  classification: 530.4
  related item:
    title info:
      title: Statistical Analysis Techniques in Particle Physics : Fits, Density Estimation and Supervised Learning
    name:
      name part: Narsky, Ilya.
    origin info:
      publisher: Hoboken : Wiley, ©2013
  identifier: 9783527677320
  identifier: 3527677321
  identifier: 9783527677313
  identifier: 9783527677290
  identifier: 3527677291
  identifier: 9783527677306
  identifier: 3527677305
  identifier: 3527677313
  identifier: 3527410864
  identifier: 9783527410866
  identifier: 9781306028868
  identifier: 1306028868
  identifier: 534137 MIL
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: NhCcYBP
    record creation date: 131026
    record change date: 20260214232955.6
    record identifier: in00004675607
    language of cataloging:
      language term: eng