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Guggari S: Advances in Partitioning
Techniques

Advances in Partitioning Techniques

A prospective towards Artificial Intelligence

1. Introduction to partitioning techniques 2. Partitioning techniques for deep learning techniques 3. Graph-based partitioning techniques 4. Partitioning techniques for Big Data 5. Partitioning techniques for edge computing

Chapman & Hall/CRC Data Mining and Knowledge Discovery Series

Written by leaders in the data mining community, including the developers of the RapidMiner software, this book provides an in-depth introduction to the application of data mining and business analytics techniques and tools in scientific research, medicine, industry, commerce, and diverse other sectors. It presents the most powerful and flexible open source software solutions: RapidMiner and RapidAnalytics. The new edition will update all chapters to RapidMiner 7, and will add at least six new chapters, including new chapters on text mining, time series, and educational data mining.

Written by leaders in the data mining community, including the developers of the RapidMiner software, this book provides an in-depth introduction to the application of data mining and business analytics techniques and tools in scientific research, medicine, industry, commerce, and diverse other sectors. It presents the most powerful and flexible open source software solutions: RapidMiner and RapidAnalytics. The new edition will update all chapters to RapidMiner 7, and will add at least six new chapters, including new chapters on text mining, time series, and educational data mining.

Data Mining Use Cases and Business Analytics Applications

RapidMiner, Second Edition

De Gruyter Series in Measurement Sciences

Advances and Applications

Artificially Intelligent Sensing

Algorithms have become the key organizer through which power is enacted in our society. A huge amount of data regarding our daily routines are monitored and analyzed to make recommendations that manage, control, and lead our behaviors in everyday life. AI, Humans, and Misinformation: How Does AI Alter Human Behavior and How Do Humans Influence Algorithmic Misinformation? is a guide to understanding the dynamics of AI and misinformation in human contexts by addressing meaningful questions-How does AI alter human behavior and how do humans influence algorithmic decision-making? In answering these questions, this book examines the role of misinformation, disinformation, and fake news, and shows readers how to develop AI methods and algorithms that combat misinformation by using AI design choices that provide users and developers alike with meaningful control over AI. This book brings together various perspectives on algorithms into an integrated conceptual framework, and provides a broad socio-technical analysis, addressing critical and ethical issues of misinformation and fake news. The book offers a compelling insight into the misinformation phenomenon and the future of AI-based society. Readers will find an integrated technical analysis of the logic and social implications of algorithmic processes. Reporting from the cutting edge of critical technical methods and research, the result is useful and constructive for developing the relations between algorithms and humans. This is an imperative methodology for understanding what is at stake as industry and government use AI to reshape the world.

Decoding Bias, Algorithms, and Trust

Minds, Machines, and Misinformation

Noninvasive Diagnosis and Digital Insole

Sensors in Medical Applications

What is Art in the age of inequality, climate change and AI? From leading design group, Metahaven.

Cognitive Futures

The Hard Question of Art

Encyclopedia of Optimization

This hands-on, beginner-friendly book guides hobbyists and makers through every step of creating a custom printed circuit board (PCB), from conception through production. Based on a popular university course, this book is a fun, practical guide to designing printed circuit boards (PCBs) for readers of all skill levels – no industry experience required. Readers will learn to transform a breadboard prototype into a professional-grade PCB. More than that, this book bridges the gap between a basic understanding of electronic design and the methods used to manufacture those designs in a reliable, consistent, and scalable manner. Software-agnostic exercises are provided throughout, allowing readers to try out new concepts no matter what design platform is used. By the end, they’ll be ready to develop their own custom electronics.

Practical PCB Design

Chapman & Hall/CRC Monographs on Statistics and Applied Probability

Significant new challenges to the use of likelihood-based methods for inference have helped to generate considerable interest in alternative inference methods that are not based on a full likelihood specification. This book provides a comprehensive survey of likelihood methods in statistics, with an emphasis on developments to inference functions for use in complex data. These inference functions are usually motivated by considerations related to likelihood-type arguments and have a variety of names, including composite likelihood, quasi-likelihood and pseudo-likelihood.

Significant new challenges to the use of likelihood-based methods for inference have helped to generate considerable interest in alternative inference methods that are not based on a full likelihood specification. This book provides a comprehensive survey of likelihood methods in statistics, with an emphasis on developments to inference functions for use in complex data. These inference functions are usually motivated by considerations related to likelihood-type arguments and have a variety of names, including composite likelihood, quasi-likelihood and pseudo-likelihood.

Likelihood and its Extensions

Develop AI solutions and projects that create real and effective business value with this guide to leading a successful enterprise AI program.

Optimize AI Teams for Value Creation

Leading Enterprise AI Programs

This book introduces factor analysis methods for the study of multivariate stochastic processes whose structure evolves over time. It introduces the theory of factor analysis and evolutionary stochastic processes and combines that to study evolutionary factor models. The book includes many real examples to illustrate applications from such fields as macroeconomics, finance, neuroscience, communication, and psychology. MATLAB® and R code is included throughout the book for implementation of the methods.

This book introduces factor analysis methods for the study of multivariate stochastic processes whose structure evolves over time. It introduces the theory of factor analysis and evolutionary stochastic processes and combines that to study evolutionary factor models. The book includes many real examples to illustrate applications from such fields as macroeconomics, finance, neuroscience, communication, and psychology. MATLAB® and R code is included throughout the book for implementation of the methods.

Evolutionary Factor Analysis

Sustainable Computing and Optimization

Models and Applications

Handbook of Nature Inspired Algorithms

Das Buch führt anschaulich und verständlich in das Gebiet der intelligenten Verfahren ein. In geschlossenen Darstellungen zeigt es zuerst die theoretischen Grundlagen und anschließend praktische Beispiele, wobei bei den Beispielen auch fehlerhafte Ansätze gezeigt werden.Ausgehend von linearen Systemen und ihren Einschränkungen werden nichtlineare Systeme sowie grundlegende Lernverfahren eingeführt. Darauf aufbauend werden intelligente Verfahren, z.B. der lernfähige, nichtlineare Beobachter, entwickelt sowie die Identifikation von nichtlinearen Systemen und deren Optimierung behandelt. &nbsp;Anschließend werden Regelungsverfahren von nichtlinearen Systemen vorgestellt, wobei die modellbasierte adaptive Regelung sowie die Regelung von unbekannten Systemen Schwerpunkte sind. Den Abschluss bildet ein Kapitel über Fuzzy-Logik.Die Verfahren können bei vielen nichtlinearen Systemen angewendet werden und wurden bereits äußerst erfolgreich in der Medizin, in der Robotik und in der Getriebesteuerung von Hybridfahrzeugen eingesetzt.Neu an der zweiten Auflage sind Kapitel über robuste Schätzverfahren und Concurrent Learning.Die ZielgruppenDas Werk richtet sich an Studierende &nbsp;und Wissenschaftler der Ingenieurwissenschaften, Informatik und Mathematik sowie Ingenieure in der Praxis.Die AutorenUniv.-Prof. i .R. Dr.-Ing. Dr.-Ing. h.c. Dierk Schröder, Fellow IEEE, Technische Universität München, Lehrstuhl für Elektrische Antriebssysteme und Leistungselektronik&nbsp;Univ.-Prof. Dr.-Ing./Univ. Tokio habil. Martin Buss, Fellow IEEE, Technische Universität München, Lehrstuhl für Steuerungs- und Regelungstechnik

Anschauliche und verständliche Einführung in das Gebiet der intelligenten Verfahren&nbsp;Verfahren können für alle nichtlinearen Systemen angewendet werdenDie geschlossene Darstellung zeigt die theoretischen Grundlagen und praktische Beispiele

Identifikation und Regelung nichtlinearer Systeme

Intelligente Verfahren

Advances in Partitioning Techniques

Bibliografische Angaben

Inhaltsverzeichnis

Schlagworte

Bibliografische Angaben

Inhaltsverzeichnis

Schlagworte

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