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Knowledge Discovery from Archaeological Materials [Hardback]

(Instituto Nacional de Antropologķa e Historia), (Instituto Nacional de Antropologia e Historia), (Philipps-Universität Marburg, Germany), (Escuela Nacional de Antropologia e Historia)
  • Formāts: Hardback, 96 pages, height x width x depth: 236x161x11 mm, weight: 290 g, Worked examples or Exercises
  • Sērija : Elements in Current Archaeological Tools and Techniques
  • Izdošanas datums: 17-Oct-2024
  • Izdevniecība: Cambridge University Press
  • ISBN-10: 1009506803
  • ISBN-13: 9781009506809
Citas grāmatas par šo tēmu:
  • Hardback
  • Cena: 74,22 €
  • Grāmatu piegādes laiks ir 3-4 nedēļas, ja grāmata ir uz vietas izdevniecības noliktavā. Ja izdevējam nepieciešams publicēt jaunu tirāžu, grāmatas piegāde var aizkavēties.
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  • Ielikt grozā
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  • Pievienot vēlmju sarakstam
  • Formāts: Hardback, 96 pages, height x width x depth: 236x161x11 mm, weight: 290 g, Worked examples or Exercises
  • Sērija : Elements in Current Archaeological Tools and Techniques
  • Izdošanas datums: 17-Oct-2024
  • Izdevniecība: Cambridge University Press
  • ISBN-10: 1009506803
  • ISBN-13: 9781009506809
Citas grāmatas par šo tēmu:
This Element highlights the employment within archaeology of classification methods developed in the field of chemometrics, artificial intelligence, and Bayesian statistics. These operate in both high- and low-dimensional environments and often have better results than traditional methods. The basic principles and main methods are introduced with recommendations for when to use them.

This Element highlights the employment within archaeology of classification methods developed in the field of chemometrics, artificial intelligence, and Bayesian statistics. These often have better results than traditional methods. The basic principles and main methods are introduced with recommendations when to use them.

Papildus informācija

This Element highlights the archaeology of methods developed in chemometrics, artificial intelligence, and Bayesian statistics.
1. Introduction;
2. Processing spectral data;
3. Processing
compositional data;
4. Processing a combination of spectral and compositional
data;
5. Final comments; Abbreviations; References.