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Book Synopsis Markov Decision Processes with Their Applications by : Qiying Hu
Download or read book Markov Decision Processes with Their Applications written by Qiying Hu and published by Springer Science & Business Media. This book was released on 2007-09-14 with total page 305 pages. Available in PDF, EPUB and Kindle. Book excerpt: Put together by two top researchers in the Far East, this text examines Markov Decision Processes - also called stochastic dynamic programming - and their applications in the optimal control of discrete event systems, optimal replacement, and optimal allocations in sequential online auctions. This dynamic new book offers fresh applications of MDPs in areas such as the control of discrete event systems and the optimal allocations in sequential online auctions.
Book Synopsis Closing the Engagement Gap by : Julie Gebauer
Download or read book Closing the Engagement Gap written by Julie Gebauer and published by Penguin. This book was released on 2008-12-26 with total page 294 pages. Available in PDF, EPUB and Kindle. Book excerpt: Expert advice and examples show how managers can inspire high levels of commitment When people are truly engaged in their work they give more “discretionary effort” and make a huge difference to their company. They ask, “What’s in it for us?” instead of “What’s in it for me?” Yet an engaged workforce is as rare as it is valuable. A groundbreaking global study, led by Julie Gebauer and Don Lowman of Towers Perrin, shows that most people are not engaged and don’t contribute as much value as they could. Not because they’re inherently lazy or apathetic, but because their companies and managers don’t know how to draw out the best from them. For instance, while pay and benefits are critical in attracting talent to a company, they have little effect on engagement. Instead, there are five proven ways to engage employees, including: Grow them by helping them develop skills and Knowledge Involve them by asking for input and delegating Authority Reward them with recognition and advancement Opportunities Using real world examples, the authors show that consistently better engagement really is possible and can deliver a huge impact to the bottom line.
Book Synopsis Predictive Analytics in Human Resource Management by : Shivinder Nijjer
Download or read book Predictive Analytics in Human Resource Management written by Shivinder Nijjer and published by Taylor & Francis. This book was released on 2020-12-03 with total page 237 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume is a step-by-step guide to implementing predictive data analytics in human resource management (HRM). It demonstrates how to apply and predict various HR outcomes which have an organisational impact, to aid in strategising and better decision-making. The book: Presents key concepts and expands on the need and role of HR analytics in business management. Utilises popular analytical tools like artificial neural networks (ANNs) and K-nearest neighbour (KNN) to provide practical demonstrations through R scripts for predicting turnover and applicant screening. Discusses real-world corporate examples and employee data collected first-hand by the authors. Includes individual chapter exercises and case studies for students and teachers. Comprehensive and accessible, this guide will be useful for students, teachers, and researchers of data analytics, Big Data, human resource management, statistics, and economics. It will also be of interest to readers interested in learning more about statistics or programming.
Book Synopsis Encyclopedia of Machine Learning by : Claude Sammut
Download or read book Encyclopedia of Machine Learning written by Claude Sammut and published by Springer Science & Business Media. This book was released on 2011-03-28 with total page 1061 pages. Available in PDF, EPUB and Kindle. Book excerpt: This comprehensive encyclopedia, in A-Z format, provides easy access to relevant information for those seeking entry into any aspect within the broad field of Machine Learning. Most of the entries in this preeminent work include useful literature references.
Book Synopsis Formal Approaches to Software Testing by : Wolfgang Grieskamp
Download or read book Formal Approaches to Software Testing written by Wolfgang Grieskamp and published by Springer Science & Business Media. This book was released on 2006-05-30 with total page 229 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed post-proceedings of the 5th International Workshop on Formal Approaches to Software Testing, FATES 2005, held in Edinburgh, UK, in July 2005 in conjunction with CAV 2005. The book presents 13 revised full papers together with 1 work-in-progress paper. These address formal approaches to testing and use techniques from areas like theorem proving, model checking, constraint resolution, program analysis, abstract interpretation, Markov chains, and various others.
Book Synopsis Coordination of Large-Scale Multiagent Systems by : Paul Scerri
Download or read book Coordination of Large-Scale Multiagent Systems written by Paul Scerri and published by Springer Science & Business Media. This book was released on 2006-03-14 with total page 343 pages. Available in PDF, EPUB and Kindle. Book excerpt: Challenges arise when the size of a group of cooperating agents is scaled to hundreds or thousands of members. In domains such as space exploration, military and disaster response, groups of this size (or larger) are required to achieve extremely complex, distributed goals. To effectively and efficiently achieve their goals, members of a group need to cohesively follow a joint course of action while remaining flexible to unforeseen developments in the environment. Coordination of Large-Scale Multiagent Systems provides extensive coverage of the latest research and novel solutions being developed in the field. It describes specific systems, such as SERSE and WIZER, as well as general approaches based on game theory, optimization and other more theoretical frameworks. It will be of interest to researchers in academia and industry, as well as advanced-level students.
Book Synopsis Tools and Algorithms for the Construction and Analysis of Systems by : Jan Friso Groote
Download or read book Tools and Algorithms for the Construction and Analysis of Systems written by Jan Friso Groote and published by Springer Nature. This book was released on 2021-04-20 with total page 471 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access two-volume set constitutes the proceedings of the 27th International Conference on Tools and Algorithms for the Construction and Analysis of Systems, TACAS 2021, which was held during March 27 – April 1, 2021, as part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2021. The conference was planned to take place in Luxembourg and changed to an online format due to the COVID-19 pandemic. The total of 41 full papers presented in the proceedings was carefully reviewed and selected from 141 submissions. The volume also contains 7 tool papers; 6 Tool Demo papers, 9 SV-Comp Competition Papers. The papers are organized in topical sections as follows: Part I: Game Theory; SMT Verification; Probabilities; Timed Systems; Neural Networks; Analysis of Network Communication. Part II: Verification Techniques (not SMT); Case Studies; Proof Generation/Validation; Tool Papers; Tool Demo Papers; SV-Comp Tool Competition Papers.
Book Synopsis Hands-On Simulation Modeling with Python by : Giuseppe Ciaburro
Download or read book Hands-On Simulation Modeling with Python written by Giuseppe Ciaburro and published by Packt Publishing Ltd. This book was released on 2022-11-30 with total page 460 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn to construct state-of-the-art simulation models with Python and enhance your simulation modelling skills, as well as create and analyze digital prototypes of physical models with ease Key FeaturesUnderstand various statistical and physical simulations to improve systems using PythonLearn to create the numerical prototype of a real model using hands-on examplesEvaluate performance and output results based on how the prototype would work in the real worldBook Description Simulation modelling is an exploration method that aims to imitate physical systems in a virtual environment and retrieve useful statistical inferences from it. The ability to analyze the model as it runs sets simulation modelling apart from other methods used in conventional analyses. This book is your comprehensive and hands-on guide to understanding various computational statistical simulations using Python. The book begins by helping you get familiarized with the fundamental concepts of simulation modelling, that'll enable you to understand the various methods and techniques needed to explore complex topics. Data scientists working with simulation models will be able to put their knowledge to work with this practical guide. As you advance, you'll dive deep into numerical simulation algorithms, including an overview of relevant applications, with the help of real-world use cases and practical examples. You'll also find out how to use Python to develop simulation models and how to use several Python packages. Finally, you'll get to grips with various numerical simulation algorithms and concepts, such as Markov Decision Processes, Monte Carlo methods, and bootstrapping techniques. By the end of this book, you'll have learned how to construct and deploy simulation models of your own to overcome real-world challenges. What you will learnGet to grips with the concept of randomness and the data generation processDelve into resampling methodsDiscover how to work with Monte Carlo simulationsUtilize simulations to improve or optimize systemsFind out how to run efficient simulations to analyze real-world systemsUnderstand how to simulate random walks using Markov chainsWho this book is for This book is for data scientists, simulation engineers, and anyone who is already familiar with the basic computational methods and wants to implement various simulation techniques such as Monte-Carlo methods and statistical simulation using Python.
Book Synopsis Multi-Agent Systems by : Massimo Cossentino
Download or read book Multi-Agent Systems written by Massimo Cossentino and published by Springer. This book was released on 2012-10-26 with total page 269 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly reviewed post-proceedings of the 9th International Workshop, EUMAS 2011, held in Maastricht, The Netherlands, in November 2011. The 16 revised full papers included in the book were carefully revised and selected from 45 submissions. This workshop is primarily intended as a European forum at which researchers and those interested in activities relating to research in the area of autonomous agents and multi-agent systems could meet, present (potentially preliminary) research results, problems, and issues in an open and informal but academic environment. The aim of this workshop was to encourage and support activity in the research and development of multi-agent systems, in academic and industrial efforts.
Download or read book Machine Learning written by Claude Sammut and published by Morgan Kaufmann. This book was released on 2002 with total page 720 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Digital HR Strategy by : Soumyasanto Sen
Download or read book Digital HR Strategy written by Soumyasanto Sen and published by Kogan Page Publishers. This book was released on 2020-02-03 with total page 313 pages. Available in PDF, EPUB and Kindle. Book excerpt: We are living in an uncertain world that is rapidly changing with an overload of information and a continual rise of technologies. Automation, the gig economy, digital platforms and other innovations are changing the fundamental nature of work and are having a significant impact on the workforce, workplace and the HR function. Digital HR Strategy is crucial reading for all HR practitioners and leaders wanting to ensure that their organization adapts to this changing and increasingly competitive environment by creating a strategic approach for sustainable transformation which goes beyond conventional digital HR propositions. Featuring case studies from organizations including Airbnb and PepsiCo, it covers areas such as the importance of cultural change and creating a human-centric employee experience, leveraging value propositions, and harnessing data insights and analytics to improve performance. Digital HR Strategy also explores frameworks, strategies and opportunities for wellbeing initiatives, upskilling and reskilling workforces to respond to and establishing a culture of collaboration and innovation. Featuring tips, tools, and key questions to consider, it is an indispensable resource for all HR practitioners and leaders looking to build, develop and execute a digital HR strategy in order to achieve and sustain competitive advantage in this fast-changing digital age.
Book Synopsis Reinforcement Learning Algorithms with Python by : Andrea Lonza
Download or read book Reinforcement Learning Algorithms with Python written by Andrea Lonza and published by Packt Publishing Ltd. This book was released on 2019-10-18 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt: Develop self-learning algorithms and agents using TensorFlow and other Python tools, frameworks, and libraries Key FeaturesLearn, develop, and deploy advanced reinforcement learning algorithms to solve a variety of tasksUnderstand and develop model-free and model-based algorithms for building self-learning agentsWork with advanced Reinforcement Learning concepts and algorithms such as imitation learning and evolution strategiesBook Description Reinforcement Learning (RL) is a popular and promising branch of AI that involves making smarter models and agents that can automatically determine ideal behavior based on changing requirements. This book will help you master RL algorithms and understand their implementation as you build self-learning agents. Starting with an introduction to the tools, libraries, and setup needed to work in the RL environment, this book covers the building blocks of RL and delves into value-based methods, such as the application of Q-learning and SARSA algorithms. You'll learn how to use a combination of Q-learning and neural networks to solve complex problems. Furthermore, you'll study the policy gradient methods, TRPO, and PPO, to improve performance and stability, before moving on to the DDPG and TD3 deterministic algorithms. This book also covers how imitation learning techniques work and how Dagger can teach an agent to drive. You'll discover evolutionary strategies and black-box optimization techniques, and see how they can improve RL algorithms. Finally, you'll get to grips with exploration approaches, such as UCB and UCB1, and develop a meta-algorithm called ESBAS. By the end of the book, you'll have worked with key RL algorithms to overcome challenges in real-world applications, and be part of the RL research community. What you will learnDevelop an agent to play CartPole using the OpenAI Gym interfaceDiscover the model-based reinforcement learning paradigmSolve the Frozen Lake problem with dynamic programmingExplore Q-learning and SARSA with a view to playing a taxi gameApply Deep Q-Networks (DQNs) to Atari games using GymStudy policy gradient algorithms, including Actor-Critic and REINFORCEUnderstand and apply PPO and TRPO in continuous locomotion environmentsGet to grips with evolution strategies for solving the lunar lander problemWho this book is for If you are an AI researcher, deep learning user, or anyone who wants to learn reinforcement learning from scratch, this book is for you. You’ll also find this reinforcement learning book useful if you want to learn about the advancements in the field. Working knowledge of Python is necessary.
Book Synopsis Advances in Knowledge Discovery and Data Mining by : Hisashi Kashima
Download or read book Advances in Knowledge Discovery and Data Mining written by Hisashi Kashima and published by Springer Nature. This book was released on 2023-05-26 with total page 419 pages. Available in PDF, EPUB and Kindle. Book excerpt: The 4-volume set LNAI 13935 - 13938 constitutes the proceedings of the 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2023, which took place in Osaka, Japan during May 25–28, 2023. The 143 papers presented in these proceedings were carefully reviewed and selected from 813 submissions. They deal with new ideas, original research results, and practical development experiences from all KDD related areas, including data mining, data warehousing, machine learning, artificial intelligence, databases, statistics, knowledge engineering, big data technologies, and foundations.
Book Synopsis Foundations of Average-Cost Nonhomogeneous Controlled Markov Chains by : Xi-Ren Cao
Download or read book Foundations of Average-Cost Nonhomogeneous Controlled Markov Chains written by Xi-Ren Cao and published by Springer Nature. This book was released on 2020-09-09 with total page 128 pages. Available in PDF, EPUB and Kindle. Book excerpt: This Springer brief addresses the challenges encountered in the study of the optimization of time-nonhomogeneous Markov chains. It develops new insights and new methodologies for systems in which concepts such as stationarity, ergodicity, periodicity and connectivity do not apply. This brief introduces the novel concept of confluencity and applies a relative optimization approach. It develops a comprehensive theory for optimization of the long-run average of time-nonhomogeneous Markov chains. The book shows that confluencity is the most fundamental concept in optimization, and that relative optimization is more suitable for treating the systems under consideration than standard ideas of dynamic programming. Using confluencity and relative optimization, the author classifies states as confluent or branching and shows how the under-selectivity issue of the long-run average can be easily addressed, multi-class optimization implemented, and Nth biases and Blackwell optimality conditions derived. These results are presented in a book for the first time and so may enhance the understanding of optimization and motivate new research ideas in the area.
Book Synopsis Operations Research Proceedings 2004 by : Hein Fleuren
Download or read book Operations Research Proceedings 2004 written by Hein Fleuren and published by Springer Science & Business Media. This book was released on 2005-05-20 with total page 504 pages. Available in PDF, EPUB and Kindle. Book excerpt: These proceedings provide information on the most recent advances in operations research and related areas in economics, mathematics, and computer science, contributed by academics and practitioners from around the world.
Book Synopsis Financial Cryptography and Data Security by : Ian Goldberg
Download or read book Financial Cryptography and Data Security written by Ian Goldberg and published by Springer Nature. This book was released on 2019-10-11 with total page 705 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed post-conference proceedings of the 23rd International Conference on Financial Cryptography and Data Security, FC 2019, held in St. Kitts, St. Kitts and Nevis in February 2019.The 32 revised full papers and 7 short papers were carefully selected and reviewed from 179 submissions. The papers are grouped in the following topical sections: Cryptocurrency Cryptanalysis, Measurement, Payment Protocol Security, Multiparty Protocols, Off-Chain Mechanisms, Fraud Detection, Game Theory, IoT Security and much more.
Book Synopsis Machine Learning Applications in Electronic Design Automation by : Haoxing Ren
Download or read book Machine Learning Applications in Electronic Design Automation written by Haoxing Ren and published by Springer Nature. This book was released on 2023-01-01 with total page 585 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book serves as a single-source reference to key machine learning (ML) applications and methods in digital and analog design and verification. Experts from academia and industry cover a wide range of the latest research on ML applications in electronic design automation (EDA), including analysis and optimization of digital design, analysis and optimization of analog design, as well as functional verification, FPGA and system level designs, design for manufacturing (DFM), and design space exploration. The authors also cover key ML methods such as classical ML, deep learning models such as convolutional neural networks (CNNs), graph neural networks (GNNs), generative adversarial networks (GANs) and optimization methods such as reinforcement learning (RL) and Bayesian optimization (BO). All of these topics are valuable to chip designers and EDA developers and researchers working in digital and analog designs and verification.
