Delftse Foundations Of Computation

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Delftse Foundations Of Computation

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Author : Stefan Hugtenburg
language : en
Publisher:
Release Date : 2018

Delftse Foundations Of Computation written by Stefan Hugtenburg and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with Computer science categories.

"Delftse Foundations of Computation is a textbook for a one quarter introductory course in theoretical computer science. It includes topics from propositional and predicate logic, proof techniques, set theory and the theory of computation, along with practical applications to computer science. It has no prerequisites other than a general familiarity with computer programming"--Textbook Web page.

Delftse Foundations Of Computation

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Author : Stefan Hugtenburg
language : en
Publisher:
Release Date : 2019

Delftse Foundations Of Computation written by Stefan Hugtenburg and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with Computer science categories.

"Delftse Foundations of Computation is a textbook for an introductory course in theoretical computer science. It includes topics from propositional and predicate logic, proof techniques, set theory and the theory of computation, along with practical applications to computer science. It has no prerequisites other than a general familiarity with computer programming"--BCcampus website.

Delftse Foundations Of Computation 2nd Edition

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Author : Stefan Hugtenburg
language : en
Publisher: TU Delft OPEN Publishing
Release Date : 2022-08-24

Delftse Foundations Of Computation 2nd Edition written by Stefan Hugtenburg and has been published by TU Delft OPEN Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-08-24 with Computers categories.

Delftse Foundations of Computation is a textbook for a one quarter introductory course in theoretical computer science. It includes topics from propositional and predicate logic, proof techniques, set theory and the theory of computation, along with practical applications to computer science. It has no prerequisites other than a general familiarity with computer programming.

Delftse Foundations Of Computation

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Author :
language : en
Publisher:
Release Date :

Delftse Foundations Of Computation written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.

Pseudorandomness

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Author : Salil P. Vadhan
language : en
Publisher: Foundations and Trends(r) in T
Release Date : 2012

Pseudorandomness written by Salil P. Vadhan and has been published by Foundations and Trends(r) in T this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with Computers categories.

A survey of pseudorandomness, the theory of efficiently generating objects that look random despite being constructed using little or no randomness. This theory has significance for areas in computer science and mathematics, including computational complexity, algorithms, cryptography, combinatorics, communications, and additive number theory.

Foundations Of Computation

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Author : Carol Critchlow
language : en
Publisher:
Release Date : 2011

Foundations Of Computation written by Carol Critchlow and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with Computers categories.

Foundations of Computation is a free textbook for a one-semester course in theoretical computer science. It has been used for several years in a course at Hobart and William Smith Colleges. The course has no prerequisites other than introductory computer programming. The first half of the course covers material on logic, sets, and functions that would often be taught in a course in discrete mathematics. The second part covers material on automata, formal languages and grammar that would ordinarily be encountered in an upper level course in theoretical computer science.

Foundations Of Artificial Intelligence And Robotics

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Author : Wendell H. Chun
language : en
Publisher: CRC Press
Release Date : 2024-12-24

Foundations Of Artificial Intelligence And Robotics written by Wendell H. Chun and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-24 with Computers categories.

Artificial intelligence (AI) is a complicated science that combines philosophy, cognitive psychology, neuroscience, mathematics and logic (logicism), economics, computer science, computability, and software. Meanwhile, robotics is an engineering field that compliments AI. There can be situations where AI can function without a robot (e.g., Turing Test) and robotics without AI (e.g., teleoperation), but in many cases, each technology requires each other to exhibit a complete system: having "smart" robots and AI being able to control its interactions (i.e., effectors) with its environment. This book provides a complete history of computing, AI, and robotics from its early development to state‐of‐the‐art technology, providing a roadmap of these complicated and constantly evolving subjects. Divided into two volumes covering the progress of symbolic logic and the explosion in learning/deep learning in natural language and perception, this first volume investigates the coming together of AI (the mind) and robotics (the body), and discusses the state of AI today. Key Features: Provides a complete overview of the topic of AI, starting with philosophy, psychology, neuroscience, and logicism, and extending to the action of the robots and AI needed for a futuristic society Provides a holistic view of AI, and touches on all the misconceptions and tangents to the technologies through taking a systematic approach Provides a glossary of terms, list of notable people, and extensive references Provides the interconnections and history of the progress of technology for over 100 years as both the hardware (Moore’s Law, GPUs) and software, i.e., generative AI, have advanced Intended as a complete reference, this book is useful to undergraduate and postgraduate students of computing, as well as the general reader. It can also be used as a textbook by course convenors. If you only had one book on AI and robotics, this set would be the first reference to acquire and learn about the theory and practice.

An Introduction To Ontology Engineering

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Author : C. Maria Keet
language : en
Publisher:
Release Date : 2018-11-07

An Introduction To Ontology Engineering written by C. Maria Keet and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-11-07 with Computer software categories.

An Introduction to Ontology Engineering introduces the student to a comprehensive overview of ontology engineering, and offers hands-on experience that illustrate the theory. The topics covered include: logic foundations for ontologies with languages and automated reasoning, developing good ontologies with methods and methodologies, the top-down approach with foundational ontologies, and the bottomup approach to extract content from legacy material, and a selection of advanced topics that includes Ontology-Based Data Access, the interaction between ontologies and natural languages, and advanced modelling with fuzzy and temporal ontologies. Each chapter contains review questions and exercises, and descriptions of two group assignments are provided as well. The textbook is aimed at advanced undergraduate/postgraduate level in computer science and could fi t a semester course in ontology engineering or a 2-week intensive course. Domain experts and philosophers may fi nd a subset of the chapters of interest, or work through the chapters in a different order. Maria Keet is an Associate Professor with the Department of Computer Science, University of Cape Town, South Africa. She received her PhD in Computer Science in 2008 at the KRDB Research Centre, Free University of Bozen-Bolzano, Italy. Her research focus is on knowledge engineering with ontologies and Ontology, and their interaction with natural language and conceptual data modelling, which has resulted in over 100 peer-reviewed publications. She has developed and taught multiple courses on ontology engineering and related courses at various universities since 2009.

Sat2000

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Author : Ian Gent
language : en
Publisher: IOS Press
Release Date : 2000

Sat2000 written by Ian Gent and has been published by IOS Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000 with Computers categories.

The book is devoted to various disciplines in satisfiability research and aims to give the reader an impression of the state of the art of this research in the year 2000. It consists of a compilation of articles on this subject which have appeared, or will appear in the periodicals. The disciplines covered fall (not entirely neatly) into four categories: complete methods, stochastic methods, applications and extensions beyond propositional SAT.

Conformal Prediction For Reliable Machine Learning

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Author : Vineeth Balasubramanian
language : en
Publisher: Newnes
Release Date : 2014-04-23

Conformal Prediction For Reliable Machine Learning written by Vineeth Balasubramanian and has been published by Newnes this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-04-23 with Computers categories.

The conformal predictions framework is a recent development in machine learning that can associate a reliable measure of confidence with a prediction in any real-world pattern recognition application, including risk-sensitive applications such as medical diagnosis, face recognition, and financial risk prediction. Conformal Predictions for Reliable Machine Learning: Theory, Adaptations and Applications captures the basic theory of the framework, demonstrates how to apply it to real-world problems, and presents several adaptations, including active learning, change detection, and anomaly detection. As practitioners and researchers around the world apply and adapt the framework, this edited volume brings together these bodies of work, providing a springboard for further research as well as a handbook for application in real-world problems. - Understand the theoretical foundations of this important framework that can provide a reliable measure of confidence with predictions in machine learning - Be able to apply this framework to real-world problems in different machine learning settings, including classification, regression, and clustering - Learn effective ways of adapting the framework to newer problem settings, such as active learning, model selection, or change detection