Classifying Science

Classifying Science

Author: Rick Szostak

Publisher: Springer Science & Business Media

Published: 2007-11-03

Total Pages: 300

ISBN-13: 1402030959

DOWNLOAD EBOOK

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

Published: 2007-07-07

Total Pages: 52

ISBN-13: 9780836884388

DOWNLOAD EBOOK

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

Published: 2011-08-01

Total Pages: 24

ISBN-13: 1612366783

DOWNLOAD EBOOK

Intermediate Readers Explore How Animals Are Classified.


The Nature of Classification

The Nature of Classification

Author: J. Wilkins

Publisher: Springer

Published: 2013-11-27

Total Pages: 208

ISBN-13: 1137318120

DOWNLOAD EBOOK

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.


Classification in the Wild

Classification in the Wild

Author: Konstantinos V. Katsikopoulos

Publisher: MIT Press

Published: 2021-02-02

Total Pages: 208

ISBN-13: 0262361957

DOWNLOAD EBOOK

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.


Classifying Science

Classifying Science

Author: Rick Szostak

Publisher: Springer

Published: 2010-12-30

Total Pages: 0

ISBN-13: 9789048167906

DOWNLOAD EBOOK

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.


Exploring the Classification of Living Things

Exploring the Classification of Living Things

Author: Ella Hawley

Publisher: The Rosen Publishing Group, Inc

Published: 2012-08-15

Total Pages: 26

ISBN-13: 1448865166

DOWNLOAD EBOOK

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.


The Five Kingdom System | Classifying Living Things | Book of Science for Kids 5th Grade | Children's Biology Books

The Five Kingdom System | Classifying Living Things | Book of Science for Kids 5th Grade | Children's Biology Books

Author: Baby Professor

Publisher: Speedy Publishing LLC

Published: 2020-12-31

Total Pages: 83

ISBN-13: 1541951204

DOWNLOAD EBOOK

All living things can be classified depending on their characteristics. There is a total of five major kingdoms used in the classification. These are: Monera, Fungi, Animalia, Protista and Plantae. How are organisms classified? Well, there’s a system in doing that, which will be discussed in the following pages too. Grab a copy for your fifth grader today.


Learning to Classify Text Using Support Vector Machines

Learning to Classify Text Using Support Vector Machines

Author: Thorsten Joachims

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 218

ISBN-13: 1461509076

DOWNLOAD EBOOK

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.