Inferred Functions Of Performance And Learning

Author : Siegfried Engelmann
Publisher : Psychology Press
ISBN 13 : 1135624836
Total Pages : 506 pages
Book Rating : 4.35/5 ( download)

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Download or read book Inferred Functions of Performance and Learning written by Siegfried Engelmann and published by Psychology Press. This book was released on 2003-12-08 with total page 506 pages. Available in PDF, EPUB and Kindle. Book excerpt: This ambitious, highly theoretical book provides a capstone for the careers of two very distinguished scholars. It begins with an analysis of what functions and systems must exist for any organism or machine to perform an unlearned act, that is, with an analysis of what must be "wired into" the organism or machine. Once the basics of unlearned responding have been established, the authors then systematically show how learning mechanisms can be layered onto that foundation in ways that account for the performance of new, learned operations that eventually culminate in the acquisition of higher-order operations that involve concepts and language. This work is of interest to various practitioners engaged in analyzing and creating behavior: the ethnologist, the instructional designer, the learning psychologist, the physiologist-neurobiologist, and particularly the designer of intelligent machines.

Author : Siegfried Engelmann
Publisher : Psychology Press
ISBN 13 : 1135624844
Total Pages : 524 pages
Book Rating : 4.42/5 ( download)

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Download or read book Inferred Functions of Performance and Learning written by Siegfried Engelmann and published by Psychology Press. This book was released on 2003-12-08 with total page 524 pages. Available in PDF, EPUB and Kindle. Book excerpt: This ambitious, highly theoretical book provides a capstone for the careers of two very distinguished scholars. It begins with an analysis of what functions and systems must exist for any organism or machine to perform an unlearned act, that is, with an analysis of what must be "wired into" the organism or machine. Once the basics of unlearned responding have been established, the authors then systematically show how learning mechanisms can be layered onto that foundation in ways that account for the performance of new, learned operations that eventually culminate in the acquisition of higher-order operations that involve concepts and language. This work is of interest to various practitioners engaged in analyzing and creating behavior: the ethnologist, the instructional designer, the learning psychologist, the physiologist-neurobiologist, and particularly the designer of intelligent machines.

Author : Fenwick W. English
Publisher : SAGE
ISBN 13 : 0761930876
Total Pages : 1265 pages
Book Rating : 4.77/5 ( download)

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Download or read book Encyclopedia of Educational Leadership and Administration written by Fenwick W. English and published by SAGE. This book was released on 2006-02-16 with total page 1265 pages. Available in PDF, EPUB and Kindle. Book excerpt: Focusing on educational leadership and school administration, offers over six hundred alphabetically arranged entries covering theories, terms, concepts, and histories.

Author : Michel Hersen
Publisher : SAGE
ISBN 13 : 0761927476
Total Pages : 1857 pages
Book Rating : 4.71/5 ( download)

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Download or read book Encyclopedia of Behavior Modification and Cognitive Behavior Therapy written by Michel Hersen and published by SAGE. This book was released on 2005-01-25 with total page 1857 pages. Available in PDF, EPUB and Kindle. Book excerpt: Provides an examination of the components of behavior modification, behavior therapy, cognitive behavior therapy, and applied behavior analysis for both child and adult populations in a variety of settings. Although the focus is on technical applications, this work also provide the historical context in which behavior therapists have worked.

Author : Bhattacharyya, Siddhartha
Publisher : IGI Global
ISBN 13 : 1466625198
Total Pages : 535 pages
Book Rating : 4.98/5 ( download)

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Download or read book Handbook of Research on Computational Intelligence for Engineering, Science, and Business written by Bhattacharyya, Siddhartha and published by IGI Global. This book was released on 2012-11-30 with total page 535 pages. Available in PDF, EPUB and Kindle. Book excerpt: Using the same strategy for the needs of image processing and pattern recognition, scientists and researchers have turned to computational intelligence for better research throughputs and end results applied towards engineering, science, business and financial applications. Handbook of Research on Computational Intelligence for Engineering, Science, and Business discusses the computation intelligence approaches, initiatives and applications in the engineering, science and business fields. This reference aims to highlight computational intelligence as no longer limited to computing-related disciplines and can be applied to any effort which handles complex and meaningful information.

Author :
Publisher :
ISBN 13 :
Total Pages : 640 pages
Book Rating : 4.71/5 ( download)

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Download or read book Journal of Direct Instruction written by and published by . This book was released on 2004 with total page 640 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Author : Ying Tan
Publisher : Springer Nature
ISBN 13 : 3030788113
Total Pages : 580 pages
Book Rating : 4.17/5 ( download)

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Download or read book Advances in Swarm Intelligence written by Ying Tan and published by Springer Nature. This book was released on 2021-07-07 with total page 580 pages. Available in PDF, EPUB and Kindle. Book excerpt: his two-volume set LNCS 12689-12690 constitutes the refereed proceedings of the 12th International Conference on Advances in Swarm Intelligence, ICSI 2021, held in Qingdao, China, in July 2021. The 104 full papers presented in this volume were carefully reviewed and selected from 177 submissions. They cover topics such as: Swarm Intelligence and Nature-Inspired Computing; Swarm-based Computing Algorithms for Optimization; Particle Swarm Optimization; Ant Colony Optimization; Differential Evolution; Genetic Algorithm and Evolutionary Computation; Fireworks Algorithms; Brain Storm Optimization Algorithm; Bacterial Foraging Optimization Algorithm; DNA Computing Methods; Multi-Objective Optimization; Swarm Robotics and Multi-Agent System; UAV Cooperation and Control; Machine Learning; Data Mining; and Other Applications.

Author : Thomas, J. Joshua
Publisher : IGI Global
ISBN 13 : 1799811948
Total Pages : 355 pages
Book Rating : 4.47/5 ( download)

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Download or read book Deep Learning Techniques and Optimization Strategies in Big Data Analytics written by Thomas, J. Joshua and published by IGI Global. This book was released on 2019-11-29 with total page 355 pages. Available in PDF, EPUB and Kindle. Book excerpt: Many approaches have sprouted from artificial intelligence (AI) and produced major breakthroughs in the computer science and engineering industries. Deep learning is a method that is transforming the world of data and analytics. Optimization of this new approach is still unclear, however, and there’s a need for research on the various applications and techniques of deep learning in the field of computing. Deep Learning Techniques and Optimization Strategies in Big Data Analytics is a collection of innovative research on the methods and applications of deep learning strategies in the fields of computer science and information systems. While highlighting topics including data integration, computational modeling, and scheduling systems, this book is ideally designed for engineers, IT specialists, data analysts, data scientists, engineers, researchers, academicians, and students seeking current research on deep learning methods and its application in the digital industry.

Author : Dr. Menua Gevorgyan
Publisher : Packt Publishing Ltd
ISBN 13 : 1789617634
Total Pages : 356 pages
Book Rating : 4.34/5 ( download)

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Download or read book OpenCV 4 with Python Blueprints written by Dr. Menua Gevorgyan and published by Packt Publishing Ltd. This book was released on 2020-03-20 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt: Get to grips with traditional computer vision algorithms and deep learning approaches, and build real-world applications with OpenCV and other machine learning frameworks Key FeaturesUnderstand how to capture high-quality image data, detect and track objects, and process the actions of animals or humansImplement your learning in different areas of computer visionExplore advanced concepts in OpenCV such as machine learning, artificial neural network, and augmented realityBook Description OpenCV is a native cross-platform C++ library for computer vision, machine learning, and image processing. It is increasingly being adopted in Python for development. This book will get you hands-on with a wide range of intermediate to advanced projects using the latest version of the framework and language, OpenCV 4 and Python 3.8, instead of only covering the core concepts of OpenCV in theoretical lessons. This updated second edition will guide you through working on independent hands-on projects that focus on essential OpenCV concepts such as image processing, object detection, image manipulation, object tracking, and 3D scene reconstruction, in addition to statistical learning and neural networks. You’ll begin with concepts such as image filters, Kinect depth sensor, and feature matching. As you advance, you’ll not only get hands-on with reconstructing and visualizing a scene in 3D but also learn to track visually salient objects. The book will help you further build on your skills by demonstrating how to recognize traffic signs and emotions on faces. Later, you’ll understand how to align images, and detect and track objects using neural networks. By the end of this OpenCV Python book, you’ll have gained hands-on experience and become proficient at developing advanced computer vision apps according to specific business needs. What you will learnGenerate real-time visual effects using filters and image manipulation techniques such as dodging and burningRecognize hand gestures in real-time and perform hand-shape analysis based on the output of a Microsoft Kinect sensorLearn feature extraction and feature matching to track arbitrary objects of interestReconstruct a 3D real-world scene using 2D camera motion and camera reprojection techniquesDetect faces using a cascade classifier and identify emotions in human faces using multilayer perceptronsClassify, localize, and detect objects with deep neural networksWho this book is for This book is for intermediate-level OpenCV users who are looking to enhance their skills by developing advanced applications. Familiarity with OpenCV concepts and Python libraries, and basic knowledge of the Python programming language are assumed.

Author : Yuxing Yan
Publisher : Packt Publishing Ltd
ISBN 13 : 1788834739
Total Pages : 356 pages
Book Rating : 4.35/5 ( download)

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Download or read book Hands-On Data Science with Anaconda written by Yuxing Yan and published by Packt Publishing Ltd. This book was released on 2018-05-31 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt: Develop, deploy, and streamline your data science projects with the most popular end-to-end platform, Anaconda Key Features -Use Anaconda to find solutions for clustering, classification, and linear regression -Analyze your data efficiently with the most powerful data science stack -Use the Anaconda cloud to store, share, and discover projects and libraries Book Description Anaconda is an open source platform that brings together the best tools for data science professionals with more than 100 popular packages supporting Python, Scala, and R languages. Hands-On Data Science with Anaconda gets you started with Anaconda and demonstrates how you can use it to perform data science operations in the real world. The book begins with setting up the environment for Anaconda platform in order to make it accessible for tools and frameworks such as Jupyter, pandas, matplotlib, Python, R, Julia, and more. You’ll walk through package manager Conda, through which you can automatically manage all packages including cross-language dependencies, and work across Linux, macOS, and Windows. You’ll explore all the essentials of data science and linear algebra to perform data science tasks using packages such as SciPy, contrastive, scikit-learn, Rattle, and Rmixmod. Once you’re accustomed to all this, you’ll start with operations in data science such as cleaning, sorting, and data classification. You’ll move on to learning how to perform tasks such as clustering, regression, prediction, and building machine learning models and optimizing them. In addition to this, you’ll learn how to visualize data using the packages available for Julia, Python, and R. What you will learn Perform cleaning, sorting, classification, clustering, regression, and dataset modeling using Anaconda Use the package manager conda and discover, install, and use functionally efficient and scalable packages Get comfortable with heterogeneous data exploration using multiple languages within a project Perform distributed computing and use Anaconda Accelerate to optimize computational powers Discover and share packages, notebooks, and environments, and use shared project drives on Anaconda Cloud Tackle advanced data prediction problems Who this book is for Hands-On Data Science with Anaconda is for you if you are a developer who is looking for the best tools in the market to perform data science. It’s also ideal for data analysts and data science professionals who want to improve the efficiency of their data science applications by using the best libraries in multiple languages. Basic programming knowledge with R or Python and introductory knowledge of linear algebra is expected.