Statistical Machine Learning For Human Behaviour Analysis
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Statistical Machine Learning For Human Behaviour Analysis
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Author : Thomas Moeslund
language : en
Publisher: MDPI
Release Date : 2020-06-17
Statistical Machine Learning For Human Behaviour Analysis written by Thomas Moeslund and has been published by MDPI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-17 with Technology & Engineering categories.
This Special Issue focused on novel vision-based approaches, mainly related to computer vision and machine learning, for the automatic analysis of human behaviour. We solicited submissions on the following topics: information theory-based pattern classification, biometric recognition, multimodal human analysis, low resolution human activity analysis, face analysis, abnormal behaviour analysis, unsupervised human analysis scenarios, 3D/4D human pose and shape estimation, human analysis in virtual/augmented reality, affective computing, social signal processing, personality computing, activity recognition, human tracking in the wild, and application of information-theoretic concepts for human behaviour analysis. In the end, 15 papers were accepted for this special issue. These papers, that are reviewed in this editorial, analyse human behaviour from the aforementioned perspectives, defining in most of the cases the state of the art in their corresponding field.
Statistical Machine Learning For Human Behaviour Analysis
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Author : Thomas Moeslund
language : en
Publisher:
Release Date : 2020
Statistical Machine Learning For Human Behaviour Analysis written by Thomas Moeslund and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with categories.
This Special Issue focused on novel vision-based approaches, mainly related to computer vision and machine learning, for the automatic analysis of human behaviour. We solicited submissions on the following topics: information theory-based pattern classification, biometric recognition, multimodal human analysis, low resolution human activity analysis, face analysis, abnormal behaviour analysis, unsupervised human analysis scenarios, 3D/4D human pose and shape estimation, human analysis in virtual/augmented reality, affective computing, social signal processing, personality computing, activity recognition, human tracking in the wild, and application of information-theoretic concepts for human behaviour analysis. In the end, 15 papers were accepted for this special issue. These papers, that are reviewed in this editorial, analyse human behaviour from the aforementioned perspectives, defining in most of the cases the state of the art in their corresponding field.
Data Analysis With Machine Learning For Psychologists
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Author : Chandril Ghosh
language : en
Publisher: Springer Nature
Release Date : 2022-10-17
Data Analysis With Machine Learning For Psychologists written by Chandril Ghosh and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-10-17 with Psychology categories.
The power of data drives the digital economy of the 21st century. It has been argued that data is as vital a resource as oil was during the industrial revolution. An upward trend in the number of research publications using machine learning in some of the top journals in combination with an increasing number of academic recruiters within psychology asking for Python knowledge from applicants indicates a growing demand for these skills in the market. While there are plenty of books covering data science, rarely, if ever, books in the market address the need of social science students with no computer science background. They are typically written by engineers or computer scientists for people of their discipline. As a result, often such books are filled with technical jargon and examples irrelevant to psychological studies or projects. In contrast, this book was written by a psychologist in a simple, easy-to-understand way that is brief and accessible. The aim for this book was to make the learning experience on this topic as smooth as possible for psychology students/researchers with no background in programming or data science. Completing this book will also open up an enormous amount of possibilities for quantitative researchers in psychological science, as it will enable them to explore newer types of research questions.
Behavioral Analysis
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Author : Prof. Dr. Bilal Semih Bozdemir
language : en
Publisher: Prof. Dr. Bilal Semih Bozdemir
Release Date :
Behavioral Analysis written by Prof. Dr. Bilal Semih Bozdemir and has been published by Prof. Dr. Bilal Semih Bozdemir this book supported file pdf, txt, epub, kindle and other format this book has been release on with Education categories.
Behavioral Analysis: Unlocking the Secrets of Human Behavior Understanding the Foundations of Behavior The Role of Genetics and Environment Cognitive Processes and Decision-Making Emotions and Their Impact on Behavior Personality Traits and Their Influence Learning and Conditioning Principles Motivation and Goal-Setting Perception and Attention Biases Social Interactions and Interpersonal Dynamics Developmental Factors Shaping Behavior Organizational Behavior and Workplace Dynamics Clinical Applications of Behavioral Analysis Ethical Considerations in Behavioral Research
Visual Analysis Of Behaviour
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Author : Shaogang Gong
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-05-26
Visual Analysis Of Behaviour written by Shaogang Gong and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-05-26 with Computers categories.
This book presents a comprehensive treatment of visual analysis of behaviour from computational-modelling and algorithm-design perspectives. Topics: covers learning-group activity models, unsupervised behaviour profiling, hierarchical behaviour discovery, learning behavioural context, modelling rare behaviours, and “man-in-the-loop” active learning; examines multi-camera behaviour correlation, person re-identification, and “connecting-the-dots” for abnormal behaviour detection; discusses Bayesian information criterion, Bayesian networks, “bag-of-words” representation, canonical correlation analysis, dynamic Bayesian networks, Gaussian mixtures, and Gibbs sampling; investigates hidden conditional random fields, hidden Markov models, human silhouette shapes, latent Dirichlet allocation, local binary patterns, locality preserving projection, and Markov processes; explores probabilistic graphical models, probabilistic topic models, space-time interest points, spectral clustering, and support vector machines.
Human Behavior Learning And Transfer
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Author : Yangsheng Xu
language : en
Publisher: CRC Press
Release Date : 2005-09-06
Human Behavior Learning And Transfer written by Yangsheng Xu and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-09-06 with Computers categories.
Bridging the gap between human-computer engineering and control engineering, Human Behavior Learning and Transfer delineates how to abstract human action and reaction skills into computational models. The authors include methods for modeling a variety of human action and reaction behaviors and explore processes for evaluating, optimizing, and trans
Behavioral Data Analysis With R And Python
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Author : Florent Buisson
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2021-06-15
Behavioral Data Analysis With R And Python written by Florent Buisson and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-15 with Business & Economics categories.
Harness the full power of the behavioral data in your company by learning tools specifically designed for behavioral data analysis. Common data science algorithms and predictive analytics tools treat customer behavioral data, such as clicks on a website or purchases in a supermarket, the same as any other data. Instead, this practical guide introduces powerful methods specifically tailored for behavioral data analysis. Advanced experimental design helps you get the most out of your A/B tests, while causal diagrams allow you to tease out the causes of behaviors even when you can't run experiments. Written in an accessible style for data scientists, business analysts, and behavioral scientists, thispractical book provides complete examples and exercises in R and Python to help you gain more insight from your data--immediately. Understand the specifics of behavioral data Explore the differences between measurement and prediction Learn how to clean and prepare behavioral data Design and analyze experiments to drive optimal business decisions Use behavioral data to understand and measure cause and effect Segment customers in a transparent and insightful way
Branding With Ai
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Author : Purnima Embranthiri
language : en
Publisher: Educohack Press
Release Date : 2025-02-20
Branding With Ai written by Purnima Embranthiri and has been published by Educohack Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-20 with Business & Economics categories.
"Branding with AI: Modern Approaches" offers an informative and practical guide on branding your business. This is not your ordinary business book; it provides actual pathways to generate revenue. Open the doors to the future of branding with artificial intelligence, and discover how AI can build efficient revenue streams. Unlike anything else, this book is a clear and authentic representation of branding and its role in business success through AI. It's perfect for entrepreneurs, marketing professionals, brand strategists, students, and anyone eager to learn from first-hand experiences of creating and running a successful brand in the digital age. Explore core theories, tools, and models for building a successful brand. Learn how branding impacts profit and return on investment at both organizational and individual levels. Dive into case studies analyzing successful and unsuccessful marketing strategies of major brands. Understand AI's potential in helping companies achieve their goals through targeted marketing. "Branding with AI: Modern Approaches" provides practical knowledge on implementing the right strategy for your company. With easy-to-understand commentary and invaluable resources, this book is a game changer for making money in business.
Proceedings Of Second International Conference On Intelligent System
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Author : João Manuel R. S. Tavares
language : en
Publisher: Springer Nature
Release Date : 2024-04-11
Proceedings Of Second International Conference On Intelligent System written by João Manuel R. S. Tavares and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-11 with Computers categories.
This book gathers selected high-quality research papers presented at the Second International Conference on Intelligent System (ICIS 2023), organized by Industrial University of Ho Chi Minh City, Vietnam during September 29–30, 2023. It discusses high-quality and cutting-edge research in the areas of informatics, intelligent systems, and smart technologies and applications. The book is a collection of the latest research articles in intelligent control, artificial intelligence, neural networks, knowledge discovery, decision support systems, soft computing, data mining, and ontologies, machine learning, intelligent measurement, and other related fields.
Understanding Machine Learning
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Author : Shai Shalev-Shwartz
language : en
Publisher: Cambridge University Press
Release Date : 2014-05-19
Understanding Machine Learning written by Shai Shalev-Shwartz and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-05-19 with Computers categories.
Introduces machine learning and its algorithmic paradigms, explaining the principles behind automated learning approaches and the considerations underlying their usage.