Feature Models

Feature Models
Author: ALEXANDER. FALKNER FELFERNIG (ANDREAS. BENAVIDES, DAVID.)
Publisher: Springer Nature
Total Pages: 129
Release: 2024
Genre: Artificial intelligence
ISBN: 3031618742

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This open access book provides a basic introduction to feature modelling and analysis as well as to the integration of AI methods with feature modelling. It is intended as an introduction for researchers and practitioners who are new to the field and will also serve as a state-of-the-art reference to this audience. While focusing on the AI perspective, the book covers the topics of feature modelling (including languages and semantics), feature model analysis, and interacting with feature model configurators. These topics are discussed along the AI areas of knowledge representation and reasoning, explainable AI, and machine learning.


Feature Models
Language: en
Pages: 129
Authors: ALEXANDER. FALKNER FELFERNIG (ANDREAS. BENAVIDES, DAVID.)
Categories: Artificial intelligence
Type: BOOK - Published: 2024 - Publisher: Springer Nature

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This open access book provides a basic introduction to feature modelling and analysis as well as to the integration of AI methods with feature modelling. It is
Feature Engineering and Selection
Language: en
Pages: 266
Authors: Max Kuhn
Categories: Business & Economics
Type: BOOK - Published: 2019-07-25 - Publisher: CRC Press

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The process of developing predictive models includes many stages. Most resources focus on the modeling algorithms but neglect other critical aspects of the mode
Interpretable Machine Learning
Language: en
Pages: 320
Authors: Christoph Molnar
Categories: Artificial intelligence
Type: BOOK - Published: 2020 - Publisher: Lulu.com

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This book is about making machine learning models and their decisions interpretable. After exploring the concepts of interpretability, you will learn about simp
Feature Engineering for Machine Learning
Language: en
Pages: 218
Authors: Alice Zheng
Categories: Computers
Type: BOOK - Published: 2018-03-23 - Publisher: "O'Reilly Media, Inc."

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Feature engineering is a crucial step in the machine-learning pipeline, yet this topic is rarely examined on its own. With this practical book, you’ll learn t
The Self-Service Data Roadmap
Language: en
Pages: 297
Authors: Sandeep Uttamchandani
Categories: Computers
Type: BOOK - Published: 2020-09-10 - Publisher: "O'Reilly Media, Inc."

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Data-driven insights are a key competitive advantage for any industry today, but deriving insights from raw data can still take days or weeks. Most organization