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1Assessment Scales in Child and Adolescent Psychiatry

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“Assessment Scales in Child and Adolescent Psychiatry” Metadata:

  • Title: ➤  Assessment Scales in Child and Adolescent Psychiatry
  • Authors:
  • Language: English
  • Number of Pages: Median: 232
  • Publisher: ➤  Informa Healthcare - Distributed in North and South America by Taylor & Francis - Taylor & Francis Group - Informa
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“Assessment Scales in Child and Adolescent Psychiatry” Subjects and Themes:

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Access and General Info:

  • First Year Published: 2006
  • Is Full Text Available: Yes
  • Is The Book Public: No
  • Access Status: Printdisabled

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    Multidimensional scaling

    Torgerson (metric scaling), Shepard and Kruskal (non-metric scaling) through individual differences scaling and the maximum likelihood methods proposed by Ramsay

    Comparison gallery of image scaling algorithms

    This gallery shows the results of numerous image scaling algorithms. An image size can be changed in several ways. Consider resizing a 160x160 pixel photo

    Field of view in video games

    and aspect ratio. Modern games using static scaling typically have a 16:9 aspect ratio. Pixel-based scaling is almost exclusively used in games with two-dimensional

    NOMINATE (scaling method)

    multidimensional scaling techniques to political choice data. Though there are important technical differences between these types of NOMINATE scaling procedures

    Platt scaling

    scaling or Platt calibration is a way of transforming the outputs of a classification model into a probability distribution over classes. The method was

    Pixel-art scaling algorithms

    automatic image enhancement. Pixel art scaling algorithms employ methods significantly different than the common methods of image rescaling, which have the

    Likert scale

    agree Likert scaling is a bipolar scaling method, measuring either positive or negative response to a statement. Sometimes an even-point scale is used, where

    Multiple-scale analysis

    Multiple scale and singular perturbation methods, Springer, ISBN 978-0-387-94202-5 Bender, C.M.; Orszag, S.A. (1999), Advanced mathematical methods for scientists

    Feature scaling

    scaling is applied is that gradient descent converges much faster with feature scaling than without it. It's also important to apply feature scaling if

    Neural scaling law

    learning, a neural scaling law is an empirical scaling law that describes how neural network performance changes as key factors are scaled up or down. These