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Classifying Science

Classifying Science
Author: Rick Szostak
Publisher: Springer Science & Business Media
Total Pages: 300
Release: 2007-11-03
Genre: Science
ISBN: 1402030959

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Classification is the essential first step in science. The study of science, as well as the practice of science, will thus benefit from a detailed classification of different types of science. In this book, science - defined broadly to include the social sciences and humanities - is first unpacked into its constituent elements: the phenomena studied, the data used, the theories employed, the methods applied, and the practices of scientists. These five elements are then classified in turn. Notably, the classifications of both theory types and methods allow the key strengths and weaknesses of different theories and methods to be readily discerned and compared. Connections across classifications are explored: should certain theories or phenomena be investigated only with certain methods? What is the proper function and form of scientific paradigms? Are certain common errors and biases in scientific practice associated with particular phenomena, data, theories, or methods? The classifications point to several ways of improving both specialized and interdisciplinary research and teaching, and especially of enhancing communication across communities of scholars. The classifications also support a superior system of document classification that would allow searches by theory and method used as well as causal links investigated.


Classifying Living Things

Classifying Living Things
Author: Darlene R. Stille
Publisher: Gareth Stevens Publishing LLLP
Total Pages: 52
Release: 2007-07-07
Genre: Juvenile Nonfiction
ISBN: 9780836884388

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Examines the ways that living things are classified into groups according to their characteristics.


Let's Classify Animals!

Let's Classify Animals!
Author: Kelli Hicks
Publisher: Carson-Dellosa Publishing
Total Pages: 24
Release: 2011-08-01
Genre: Juvenile Nonfiction
ISBN: 1612366783

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Intermediate Readers Explore How Animals Are Classified.


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.


The Nature of Classification

The Nature of Classification
Author: J. Wilkins
Publisher: Springer
Total Pages: 208
Release: 2013-11-27
Genre: Science
ISBN: 1137318120

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Discussing the generally ignored issue of the classification of natural objects in the philosophy of science, this book focuses on knowledge and social relations, and offers a way to understand classification as a necessary aspect of doing science.


Classifying Science

Classifying Science
Author: Rick Szostak
Publisher: Springer
Total Pages: 0
Release: 2010-12-30
Genre: Science
ISBN: 9789048167906

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Classification is the essential first step in science. The study of science, as well as the practice of science, will thus benefit from a detailed classification of different types of science. In this book, science - defined broadly to include the social sciences and humanities - is first unpacked into its constituent elements: the phenomena studied, the data used, the theories employed, the methods applied, and the practices of scientists. These five elements are then classified in turn. Notably, the classifications of both theory types and methods allow the key strengths and weaknesses of different theories and methods to be readily discerned and compared. Connections across classifications are explored: should certain theories or phenomena be investigated only with certain methods? What is the proper function and form of scientific paradigms? Are certain common errors and biases in scientific practice associated with particular phenomena, data, theories, or methods? The classifications point to several ways of improving both specialized and interdisciplinary research and teaching, and especially of enhancing communication across communities of scholars. The classifications also support a superior system of document classification that would allow searches by theory and method used as well as causal links investigated.


Let's Classify Organisms

Let's Classify Organisms
Author: Kelli Hicks
Publisher: Britannica Digital Learning
Total Pages: 26
Release: 2014-05-30
Genre: Juvenile Nonfiction
ISBN: 1625131771

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Grouping things by similar characteristics is referred to as classification. This book is filled with information and interesting facts about the six kingdoms in which all living organisms are classified.


The Classification of the Sciences

The Classification of the Sciences
Author: Herbert Spencer
Publisher:
Total Pages: 64
Release: 1864
Genre: Classification of sciences
ISBN:

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Learning to Classify Text Using Support Vector Machines

Learning to Classify Text Using Support Vector Machines
Author: Thorsten Joachims
Publisher: Springer Science & Business Media
Total Pages: 218
Release: 2012-12-06
Genre: Computers
ISBN: 1461509076

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Based on ideas from Support Vector Machines (SVMs), Learning To Classify Text Using Support Vector Machines presents a new approach to generating text classifiers from examples. The approach combines high performance and efficiency with theoretical understanding and improved robustness. In particular, it is highly effective without greedy heuristic components. The SVM approach is computationally efficient in training and classification, and it comes with a learning theory that can guide real-world applications. Learning To Classify Text Using Support Vector Machines gives a complete and detailed description of the SVM approach to learning text classifiers, including training algorithms, transductive text classification, efficient performance estimation, and a statistical learning model of text classification. In addition, it includes an overview of the field of text classification, making it self-contained even for newcomers to the field. This book gives a concise introduction to SVMs for pattern recognition, and it includes a detailed description of how to formulate text-classification tasks for machine learning.


Exploring the Classification of Living Things

Exploring the Classification of Living Things
Author: Ella Hawley
Publisher: The Rosen Publishing Group, Inc
Total Pages: 26
Release: 2012-08-15
Genre: Juvenile Nonfiction
ISBN: 1448865166

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Explains how scientists classify living organisms, how the science of classification has changed over time, how the natural world continues to evolve, and where everyday living things fit into the classification system.