Research Anthology on Machine Learning Techniques, Methods, and Applications,
Автор: Sathiyamoorthi Velayutham Название: Handbook of Research on Applications and Implementations of Machine Learning Techniques ISBN: 1522599029 ISBN-13(EAN): 9781522599029 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 264270.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Artificial intelligence is at the forefront of research and implementation in many industries including healthcare and agriculture. Whether it's detecting disease or generating algorithms, deep learning techniques are advancing exponentially. Researchers and professionals need a platform in which they can keep up with machine learning trends and their developments in the real world.
The Handbook of Research on Applications and Implementations of Machine Learning Techniques provides innovative insights into the multi-disciplinary applications of machine learning algorithms for data analytics. The content within this publication examines disease identification, neural networks, and language support. It is designed for IT professionals, developers, data analysts, technology specialists, R&D professionals, industrialists, practitioners, researchers, academicians, and students seeking research on deep learning procedures and their enactments in the fields of medicine, engineering, and computer science.
Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data.
The updated edition of this practical book uses concrete examples, minimal theory, and three production-ready Python frameworks--scikit-learn, Keras, and TensorFlow--to help you gain an intuitive understanding of the concepts and tools for building intelligent systems. You'll learn a range of techniques, starting with simple linear regression and progressing to deep neural networks. With exercises in each chapter to help you apply what you've learned, all you need is programming experience to get started.
Автор: Srinivasa K. G., Siddesh G. M., Manisekhar S. R. Название: Statistical Modelling and Machine Learning Principles for Bioinformatics Techniques, Tools, and Applications ISBN: 9811524440 ISBN-13(EAN): 9789811524448 Издательство: Springer Рейтинг: Цена: 167700.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book discusses topics related to bioinformatics, statistics, and machine learning, presenting the latest research in various areas of bioinformatics.
Автор: Bhattacharyya Siddhartha, Banerjee Pinaki, Majumdar Dipankar Название: Handbook of Research on Advanced Hybrid Intelligent Techniques and Applications ISBN: 1466694742 ISBN-13(EAN): 9781466694743 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 277200.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Conventional computational methods, and even the latest soft computing paradigms, often fall short in their ability to offer solutions to many real-world problems due to uncertainty, imprecision, and circumstantial data. Hybrid intelligent computing is a paradigm that addresses these issues to a considerable extent.The Handbook of Research on Advanced Research on Hybrid Intelligent Techniques and Applications highlights the latest research on various issues relating to the hybridization of artificial intelligence, practical applications, and best methods for implementation. Focusing on key interdisciplinary computational intelligence research dealing with soft computing techniques, pattern mining, data analysis, and computer vision, this book is relevant to the research needs of academics, IT specialists, and graduate-level students.
Автор: Margaria Название: Leveraging Applications of Formal Methods, Verification and Validation: Foundational Techniques ISBN: 3319471651 ISBN-13(EAN): 9783319471655 Издательство: Springer Рейтинг: Цена: 98760.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Statistical Model Checking: Past, Present and Future.- Hypothesis testing for rare-event simulation: limitations and possibilities.- Survey of Statistical Verification of Linear Unbounded Properties: Model Checking and Distances.- Feedback Control for Statistical Model Checking of Cyber-Physical Systems.- Probabilistic Model Checking of Incomplete Models.- Plasma Lab: A Modular Statistical Model Checking Platform.- Synthesizing Energy-Optimal Controllers for Multiprocessor Dataflow Applications with UPPAAL STRATEGO.- Statistical Model Checking for Product Lines.- Towards Adaptive Scheduling of Maintenance for Cyber-Physical Systems.- Better railway engineering through statistical model checking.- On Creation and Analysis of Reliability Models by Means of Stochastic Timed Automata and Statistical Model Checking: Principle.- Automatic Synthesis of Code using Genetic Programming.- Evaluation and Reproducibility of Program Analysis and Verification (Track Introduction).- Symbolic Execution with CEGAR.- Multi-Core Model Checking of Large-Scale Reactive Systems Using Different State Representations.- Sparse Analysis of Variable Path Predicates Based Upon SSA-Form.- A Model Interpreter for Timed Automata.- ModSyn-PP: Modular Synthesis of Programs and Processes: Track Introduction.- Combinatory Process Synthesis.- Synthesis from a Practical Perspective.- A Long and Winding Road Towards Modular Synthesis.- Semantic heterogeneity in the formal development of complex systems: an introduction.- On the Use of Domain and System Knowledge Modeling in Goal-Based Event-B Specifications.- Strengthening MDE and Formal Design Models by references to Domain Ontologies. A Model Annotation Based Approach.- Towards Functional Requirements Analytics.- Heterogeneous Semantics and Unifying Theories.- Static and Runtime Verification: Competitors or Friends?.- StaRVOOrS - Episode II, Strengthen and Distribute the Force.- A Model-Based Approach to Combining Static and Dynamic Verification Techniques.- Information flow analysis for Go.- Challenges in High-Assurance Runtime Verification .- Static versus Dynamic Verification in Why3, Frama-C and SPARK 2014.- Considering Type-State Verification for Quantified Event Automata.- Combining Static and Runtime Methods to Achieve Safe Standing-Up for Humanoid Robots.- On Combinations of Static and Dynamic Analysis.- Safer Refactorings.- Rigorous Engineering of Collective Adaptive Systems.- Programming of CAS systems by relying on attribute-based communication.- Towards Static Analysis of Policy-Based Self-Adaptive Computing Systems.- A Calculus for Open Ensembles and Their Composition.- Logic Fragments: coordinating entities with logic programs.- Mixed-Critical Systems Design with Coarse-grained Multi-core Interference.- A Library and Scripting Language for Tool Independent Simulation Descriptions.- Adaptation to the unforeseen: Do we master our autonomous systems?'-- Questions to the Panel.- Smart coordination of autonomic component ensembles in the context of ad-hoc communication.- A Tool-chain for Statistical Spatio-Temporal Model Checking of Bike-sharing Systems.- Rigorous graphical modelling of movement in Collective Adaptive Systems.- Integration and Promotion of Autonomy with the ARE Framework.- Safe Artificial Intelligence and Formal Methods.- Engineering Adaptivity, Universal Autonomous Systems, Ethics and Compliance Issues.- Correctness-by-Construction and Post-hoc Verification: Friends or Foes?.- Correctness-by-Construction and Post-hoc Verification: A Marriage of Convenience?.- Deductive Verification of Legacy Code.- Correctness-by-Construction $\land$ Taxonomies $\Rightarrow$\\ Deep Comprehension of Algorithm Families.- Conditions for Compatibility of Components - The case of masters and slaves.- A Logic for Statistical Model Checking of Dynamic Software Architectures.- On two Friends for getting Correct Programs - Automatically Translating Event-B Specifications to Recursive Algorithms
Автор: Tiziana Margaria; Bernhard Steffen Название: Leveraging Applications of Formal Methods, Verification and Validation. Specialized Techniques and Applications ISBN: 3662452308 ISBN-13(EAN): 9783662452301 Издательство: Springer Рейтинг: Цена: 74530.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The two-volume set LNCS 8802 and LNCS 8803 constitutes the refereed proceedings of the 6th International Symposium on Leveraging Applications of Formal Methods, Verification and Validation, ISoLA 2014, held in Imperial, Corfu, Greece, in October 2014.
Автор: Wolfgang Bibel; P.H. Schmitt Название: Automated Deduction - A Basis for Applications Volume I Foundations - Calculi and Methods Volume II Systems and Implementation Techniques Volume III Applications ISBN: 0792351290 ISBN-13(EAN): 9780792351290 Издательство: Springer Рейтинг: Цена: 266470.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Covers development in the field of automated deduction. This book focuses on the investigation of problems derived from realistic applications. It focuses on basic research in deduction and on the knowledge on which modern deductive systems are based. It presents techniques of implementation and details about system building.
Автор: Wolfgang Bibel; P.H. Schmitt Название: Automated Deduction - A Basis for Applications Volume I Foundations - Calculi and Methods Volume II Systems and Implementation Techniques Volume III Applications ISBN: 0792351304 ISBN-13(EAN): 9780792351306 Издательство: Springer Рейтинг: Цена: 234790.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Presents the concepts and methods in automated deduction. This work focuses on basic research in deduction and on the knowledge on which modern deductive systems are based. It presents techniques of implementation and details about system building. It deals with applications of deductive techniques.
Автор: Wolfgang Bibel; P.H. Schmitt Название: Automated Deduction - A Basis for Applications Volume I Foundations - Calculi and Methods Volume II Systems and Implementation Techniques Volume III Applications ISBN: 0792351312 ISBN-13(EAN): 9780792351313 Издательство: Springer Рейтинг: Цена: 186290.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Features the concepts and methods in automated deduction. This work focuses on basic research in deduction and on the knowledge on which modern deductive systems are based. It presents techniques of implementation and details about system building. It deals with applications of deductive techniques.
Автор: Siddhivinayak Kulkarni Название: Machine Learning Algorithms for Problem Solving in Computational Applications: Intelligent Techniques ISBN: 1466618337 ISBN-13(EAN): 9781466618336 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 189420.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Addresses the complex realm of machine learning and its applications for solving various real-world problems in a variety of disciplines, such as manufacturing, business, information retrieval, and security. This premier reference source is essential for professors, researchers, and students in artificial intelligence as well as computer science and engineering.
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