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Classification in the Wild

Classification in the Wild
Author: Konstantinos V. Katsikopoulos
Publisher: MIT Press
Total Pages: 208
Release: 2021-02-02
Genre: Language Arts & Disciplines
ISBN: 0262361957

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Rules for building formal models that use fast-and-frugal heuristics, extending the psychological study of classification to the real world of uncertainty. This book focuses on classification--allocating objects into categories--"in the wild," in real-world situations and far from the certainty of the lab. In the wild, unlike in typical psychological experiments, the future is not knowable and uncertainty cannot be meaningfully reduced to probability. Connecting the science of heuristics with machine learning, the book shows how to create formal models using classification rules that are simple, fast, and transparent and that can be as accurate as mathematically sophisticated algorithms developed for machine learning.


Final Environmental Impact Statement

Final Environmental Impact Statement
Author: United States. Forest Service. Pacific Northwest Region
Publisher:
Total Pages: 652
Release: 1990
Genre: Forest management
ISBN:

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Classification of Portions of the Skagit River and Selected Tributaries Under the Wild and Scenic Rivers Act, PL 90-542 : Final Environmental Impact Statement

Classification of Portions of the Skagit River and Selected Tributaries Under the Wild and Scenic Rivers Act, PL 90-542 : Final Environmental Impact Statement
Author: United States. Forest Service. Pacific Northwest Region
Publisher:
Total Pages: 226
Release: 1977
Genre: Skagit River (B.C. and Wash.)
ISBN:

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