Collection:
Mathematics
10961 books
Introduction to Time Series Modeling with Applications in R - Paperback
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by Genshiro Kitagawa (Author)Praise for the first edition: [This book] reflects the extensive experience and significant contributions of the author to non-linear and non-Gaussian modeling. ... [It] is a valuable book, especially with its broad and accessible introduction of models in the state-space framework. -Statistics in MedicineWhat distinguishes this book from comparable introductory texts is the use of state-space modeling. Along with this come a number of valuable tools for recursive...
Statistics and Analysis of Scientific Data - Hardcover
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by Massimiliano Bonamente (Author)Back JacketThis book is the third edition of a successful textbook for upper-undergraduate and early graduate students, which offers a solid foundation in probability theory and statistics and their application to physical sciences, engineering, biomedical sciences and related disciplines. It provides broad coverage ranging from conventional textbook content of probability theory, random variables, and their statistics, regression, and parameter estimation, t...
Basic Topology 1: Metric Spaces and General Topology - Hardcover
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by Avishek Adhikari (Author), Mahima Ranjan Adhikari (Author)This first of the three-volume book is targeted as a basic course in topology for undergraduate and graduate students of mathematics. It studies metric spaces and general topology. It starts with the concept of the metric which is an abstraction of distance in the Euclidean space. The special structure of a metric space induces a topology that leads to many applications of topology in modern analysis and modern algebra, as shown in ...
Basic Topology 2: Topological Groups, Topology of Manifolds and Lie Groups - Hardcover
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by Avishek Adhikari (Author), Mahima Ranjan Adhikari (Author)1. Background on Topology, Analysis and Algebra.- 2. Topological Groups.- 3. Topology of Manifolds.- 4. Lie Groups and Lie Algebra.- 5. Brief History of Topological Groups, Manifold and Lie Groups.Back JacketThis second of the three-volume book is targeted as a basic course in topology for undergraduate and graduate students of mathematics. It focuses on many variants of topology and its applications in modern analysis, geometry, al...
Explainable Natural Language Processing - Paperback
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by Anders Søgaard (Author)This book presents a taxonomy framework and survey of methods relevant to explaining the decisions and analyzing the inner workings of Natural Language Processing (NLP) models. The book is intended to provide a snapshot of Explainable NLP, though the field continues to rapidly grow. The book is intended to be both readable by first-year M.Sc. students and interesting to an expert audience. The book opens by motivating a focus on providing a consistent taxonomy, point...
Outlier Detection for Temporal Data - Paperback
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by Manish Gupta (Author), Jing Gao (Author), Charu Aggarwal (Author)Outlier (or anomaly) detection is a very broad field which has been studied in the context of a large number of research areas like statistics, data mining, sensor networks, environmental science, distributed systems, spatio-temporal mining, etc. Initial research in outlier detection focused on time series-based outliers (in statistics). Since then, outlier detection has been studied on a large variety of data types including...
Graph Mining: Laws, Tools, and Case Studies - Paperback
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by Deepayan Chakrabarti (Author), Christos Faloutsos (Author)What does the Web look like? How can we find patterns, communities, outliers, in a social network? Which are the most central nodes in a network? These are the questions that motivate this work. Networks and graphs appear in many diverse settings, for example in social networks, computer-communication networks (intrusion detection, traffic management), protein-protein interaction networks in biology, document-text bipartite graphs i...
Principles of Blockchain Systems - Paperback
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by Antonio Fernández Anta (Author), Chryssis Georgiou (Author), Maurice Herlihy (Author)This book is the first to present the state of the art and provide technical focus on the latest advances in the foundations of blockchain systems. It is a collaborative work between specialists in cryptography, distributed systems, formal languages, and economics, and addresses hot topics in blockchains from a theoretical perspective: cryptographic primitives, consensus, formalization of blockchain proper...
Creating Autonomous Vehicle Systems, Second Edition - Paperback
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by Shaoshan Liu (Author), Liyun Li (Author), Jie Tang (Author)This book is one of the first technical overviews of autonomous vehicles written for a general computing and engineering audience. The authors share their practical experiences designing autonomous vehicle systems. These systems are complex, consisting of three major subsystems: (1) algorithms for localization, perception, and planning and control; (2) client systems, such as the robotics operating system and hardware platform; and...
Mobile Robotics for Multidisciplinary Study - Paperback
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by Carolotta Berry (Author)This lecture provides an introduction to the field of mobile robotics and the intersection between multiple robotics-related disciplines including electrical, mechanical, computer, software engineering and computer science. It is intended for an upper-level undergraduate or first-year graduate students interested in mobile robotics and artificial intelligence with some experience in object-oriented programming and controls. Focus areas will include robotics history,...
Transfer Learning for Multiagent Reinforcement Learning Systems - Paperback
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by Felipe Leno Da Silva (Author), Anna Helena Reali Costa (Author)Learning to solve sequential decision-making tasks is difficult. Humans take years exploring the environment essentially in a random way until they are able to reason, solve difficult tasks, and collaborate with other humans towards a common goal. Artificial Intelligent agents are like humans in this aspect. Reinforcement Learning (RL) is a well-known technique to train autonomous agents through interactions with the environmen...
Graph Representation Learning - Paperback
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by William L. Hamilton (Author)Graph-structured data is ubiquitous throughout the natural and social sciences, from telecommunication networks to quantum chemistry. Building relational inductive biases into deep learning architectures is crucial for creating systems that can learn, reason, and generalize from this kind of data. Recent years have seen a surge in research on graph representation learning, including techniques for deep graph embeddings, generalizations of convolutional neural ne...
Introduction to Graph Neural Networks - Paperback
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by Zhiyuan Liu (Author), Jie Zhou (Author)Graphs are useful data structures in complex real-life applications such as modeling physical systems, learning molecular fingerprints, controlling traffic networks, and recommending friends in social networks. However, these tasks require dealing with non-Euclidean graph data that contains rich relational information between elements and cannot be well handled by traditional deep learning models (e.g., convolutional neural networks (CNNs) or recurren...
Learning and Decision-Making from Rank Data - Paperback
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by Lirong Xia (Author)The ubiquitous challenge of learning and decision-making from rank data arises in situations where intelligent systems collect preference and behavior data from humans, learn from the data, and then use the data to help humans make efficient, effective, and timely decisions. Often, such data are represented by rankings. This book surveys some recent progress toward addressing the challenge from the considerations of statistics, computation, and socio-economics. We will c...
An Introduction to the Planning Domain Definition Language - Paperback
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by Patrik Haslum (Author), Nir Lipovetzky (Author), Daniele Magazzeni (Author)Planning is the branch of Artificial Intelligence (AI) that seeks to automate reasoning about plans, most importantly the reasoning that goes into formulating a plan to achieve a given goal in a given situation. AI planning is model-based: a planning system takes as input a description (or model) of the initial situation, the actions available to change it, and the goal condition to output a plan composed of those a...
Lifelong Machine Learning, Second Edition - Paperback
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by Zhiyuan Chen (Author), Bing Liu (Author)Lifelong Machine Learning, Second Edition is an introduction to an advanced machine learning paradigm that continuously learns by accumulating past knowledge that it then uses in future learning and problem solving. In contrast, the current dominant machine learning paradigm learns in isolation: given a training dataset, it runs a machine learning algorithm on the dataset to produce a model that is then used in its intended application. It makes no a...
Strategic Voting - Paperback
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by Reshef Meir (Author)Social choice theory deals with aggregating the preferences of multiple individuals regarding several available alternatives, a situation colloquially known as voting. There are many different voting rules in use and even more in the literature, owing to the various considerations such an aggregation method should take into account. The analysis of voting scenarios becomes particularly challenging in the presence of strategic voters, that is, voters that misreport their...
A Short Introduction to Preferences: Between AI and Social Choice - Paperback
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by Francesca Rossi (Author), Kristen Brent Venable (Author), Toby Walsh (Author)Computational social choice is an expanding field that merges classical topics like economics and voting theory with more modern topics like artificial intelligence, multiagent systems, and computational complexity. This book provides a concise introduction to the main research lines in this field, covering aspects such as preference modelling, uncertainty reasoning, social choice, stable matching, and computation...
Algorithms for Reinforcement Learning - Paperback
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by Csaba Szepesvári (Author)Reinforcement learning is a learning paradigm concerned with learning to control a system so as to maximize a numerical performance measure that expresses a long-term objective. What distinguishes reinforcement learning from supervised learning is that only partial feedback is given to the learner about the learner's predictions. Further, the predictions may have long term effects through influencing the future state of the controlled system. Thus, time plays a spe...
Essentials of Game Theory: A Concise Multidisciplinary Introduction - Paperback
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by Kevin Leyton-Brown (Author), Yoav Shoham (Author)Game theory is the mathematical study of interaction among independent, self-interested agents. The audience for game theory has grown dramatically in recent years, and now spans disciplines as diverse as political science, biology, psychology, economics, linguistics, sociology, and computer science, among others. What has been missing is a relatively short introduction to the field covering the common basis that anyone with a professional i...
Predicting Human Decision-Making: From Prediction to Action - Hardcover
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by Ariel Rosenfeld (Author), Sarit Kraus (Author)Human decision-making often transcends our formal models of "rationality." Designing intelligent agents that interact proficiently with people necessitates the modeling of human behavior and the prediction of their decisions. In this book, we explore the task of automatically predicting human decision-making and its use in designing intelligent human-aware automated computer systems of varying natures--from purely conflicting interaction settin...
Statistical Relational Artificial Intelligence: Logic, Probability, and Computation - Hardcover
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by Luc De Raedt (Author), Kristian Kersting (Author), Sriraam Natarajan (Author)An intelligent agent interacting with the real world will encounter individual people, courses, test results, drugs prescriptions, chairs, boxes, etc., and needs to reason about properties of these individuals and relations among them as well as cope with uncertainty. Uncertainty has been studied in probability theory and graphical models, and relations have been studied in logic, in particular in the predicate ca...
Essays in Constructive Mathematics - Hardcover
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by Harold M. Edwards (Author), David a. Cox (Contribution by)He [Kronecker] was, in fact, attempting to describe and to initiate a new branch of mathematics, which would contain both number theory and alge- braic geometry as special cases.--Andre Weil [62] This book is about mathematics, not the history or philosophy of mathemat- ics. Still, history and philosophy were prominent among my motives for writing it, and historical and philosophical issues will be major factors in determining wheth...
Algorithms for a New World: When Big Data and Mathematical Models Meet - Paperback
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by Alfio Quarteroni (Author)Covid-19 has shown us the importance of mathematical and statistical models to interpret reality, provide forecasts, and explore future scenarios. Algorithms, artificial neural networks, and machine learning help us discover the opportunities and pitfalls of a world governed by mathematics and artificial intelligence.Back JacketCovid-19 has shown us the importance of mathematical and statistical models to interpret reality, provide forecasts, and explore future sce...
Experimental Gravitation - Paperback
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by Fulvio Ricci (Author), Massimo Bassan (Author)This book features a comprehensive review of experimental gravitation. It is a textbook based on the graduate courses on "Experimental Gravitation" given by the authors at their respective universities in Rome: Sapienza and Tor Vergata. A number of different research topics in the field are covered: from the torsion pendulum (still today the tool of choice for measuring small forces or torques) to the large interferometers developed to observe ...
Mathematical Logic - Paperback
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by Heinz-Dieter Ebbinghaus (Author), Jörg Flum (Author), Wolfgang Thomas (Author)What is a mathematical proof? How can proofs be justified? Are there limitations to provability? To what extent can machines carry out mathe- matical proofs? Only in this century has there been success in obtaining substantial and satisfactory answers. The present book contains a systematic discussion of these results. The investigations are centered around first-order logic. Our first goal is Godel's completenes...
Complete Data Analysis Using R - Paperback
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by Marco Lehmann (Author)This step-by-step guide shows you how to use R to get data analysis right. The book explores the entire process of analysis, covering key steps from preparing your data to putting your analysis together and writing up your findings. It helps you get to grips with doing different statistical techniques in R and: Equips you with practical data visualisation tools to create graphs and tables. Shows you how to prepare and present your research for assessment, publicatio...
Mathematician with the Soul of a Poet: Poems and Plays of Sofia Kovalevskaya - Paperback
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by Sofia Kovalevskaya (Author), Sandra DeLozier Coleman (Translator)In 1868, a young Russian woman asked an emerging scientist, who supported the goal of expanding educational opportunities for women, to marry any one of the three women in his office for the sole purpose of helping them obtain passports. With his help, they planned to travel to where they could write or pursue higher education. The marriage was to be in name only, so it did not matter which of them he chose.He chose eighteen-...
Auction Theory: Introductory Exercises with Answer Keys - Paperback
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by Pak-Sing Choi (Author), Felix Munoz-Garcia (Author)This textbook provides a short introduction to auction theory through exercises with detailed answer keys. Focusing on practical examples, this textbook offers over 80 exercises that predict bidders' equilibrium behaviour in different auction formats, along with the seller's strategic incentives to organize one auction format over the other. The book emphasizes game-theoretic tools, so students can apply similar tools to other auction form...
Moneytopia: Investing: Financial Literacy for Children - Hardcover
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by Shanshan Peer (Author)Parents, this book tackles the concept of investing money to start children on the path to a bright financial future.Research shows that money habits are set by age seven, but only 23% of families have money conversations with their children.The Moneytopia series is designed to help teach invaluable money habits and concepts in easy-to-understand, child-friendly terms. Paired with beautiful illustrations, this fun story follows along with a bunny, a bear, and a fox as...
Advances in Modal Logic 14 - Paperback
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by David Fernández Duque (Editor), Alessandra Palmigiano (Editor), Sophie Pinchinat (Editor)Ever since antiquity, philosophers have recognized that truth comes in many "modes", so that a proposition may not only be true or false, but also e.g. "necessary" or "possible". These ideas led to the modern field of modal logic, a lively are of research at the intersection of philosophy, mathematics, and computer science. Nowadays, the term "modal logic" is understood in a broad sense, which al...
Arithmetic Explained: From Memorization to Understanding - Paperback
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by Ronald T. Kneusel (Author)If you've forgotten how to multiply or do long division, let alone work with percentages, this book is for you. Arithmetic Explained begins at the beginning, with numbers and place notation, then explains arithmetic, step by step, from addition through subtraction to multiplication and division before finally ending with percents.Arithmetic Explained is for adults who have forgotten, or never really learned, how to do arithmetic; the only mathematics the vast majo...
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