Серия "Synthesis Lectures on Artificial Intelligence and Machine Learning"

33 кн.

Скачать лучшие книги серии Synthesis Lectures on Artificial Intelligence and Machine Learning - автор Zhiyuan Liu в формате fb2 или читать онлайн, бесплатно и без регистрации. Читаемые, полные версии книг, без сокращений - на сайте Knigism.online. Скачать книги полностью в количестве 33 шт.

Сортировать по:

порядку

дате добавления

названию

году выхода

количеству скачиваний

Introduction to Graph Neural Networ...

Zhiyuan Liu

Introduction to Graph Neural Networks

Скачать книгу (fb2, )

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 recurrent neural networks (RNNs)). Nodes in graphs...

Автор

Zhiyuan Liu

Representing and Reasoning with Qua...

Ganesh Ram Santhanam

Representing and Reasoning with Qualitative Preferences

Скачать книгу (fb2, )

Автор

Ganesh Ram Santhanam

Federated Learning

Yang Liu

Federated Learning

Скачать книгу (fb2, )

How is it possible to allow multiple data owners to collaboratively train and use a shared prediction model while keeping all the local training data private? Traditional machine learning approaches need to combine all data at one location, typically a data center, which may very well violate the laws on user privacy and data confidentiality. Today, many parts of the world demand that technology companies treat user data carefully according to user-privacy laws. The European Union's...

Автор

Yang Liu

Reasoning with Probabilistic and De...

Rina Dechter

Reasoning with Probabilistic and Deterministic Graphical Models

Скачать книгу (fb2, )

Автор

Rina Dechter

Strategic Voting

Reshef Meir

Strategic Voting

Скачать книгу (fb2, )

Автор

Reshef Meir

Introduction to Logic Programming

Michael Genesereth

Introduction to Logic Programming

Скачать книгу (fb2, )

Автор

Michael Genesereth

An Introduction to the Planning Dom...

Patrik Haslum

An Introduction to the Planning Domain Definition Language

Скачать книгу (fb2, )

Автор

Patrik Haslum

General Game Playing

Michael Thielscher

General Game Playing

Скачать книгу (fb2, )

General game players are computer systems able to play strategy games based solely on formal game descriptions supplied at «runtime» (n other words, they don't know the rules until the game starts). Unlike specialized game players, such as Deep Blue, general game players cannot rely on algorithms designed in advance for specific games; they must discover such algorithms themselves. General game playing expertise depends on intelligence on the part of the game player and not just...

Автор

Michael Thielscher

Essentials of Game Theory

Kevin Leyton-Brown

Essentials of Game Theory

Скачать книгу (fb2, )

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 interest in game theory is likely to require. Such a...

Автор

Kevin Leyton-Brown

Adversarial Machine Learning

Yevgeniy Vorobeychik

Adversarial Machine Learning

Скачать книгу (fb2, )

The increasing abundance of large high-quality datasets, combined with significant technical advances over the last several decades have made machine learning into a major tool employed across a broad array of tasks including vision, language, finance, and security. However, success has been accompanied with important new challenges: many applications of machine learning are adversarial in nature. Some are adversarial because they are safety critical, such as autonomous driving. An adversary in...

Автор

Yevgeniy Vorobeychik

Lifelong Machine Learning

Bing Liu

Lifelong Machine Learning

Скачать книгу (fb2, )

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 attempt to retain the learned knowledge and...

Автор

Bing Liu

An Introduction to Constraint-Based...

Roman Barták

An Introduction to Constraint-Based Temporal Reasoning

Скачать книгу (fb2, )

Solving challenging computational problems involving time has been a critical component in the development of artificial intelligence systems almost since the inception of the field. This book provides a concise introduction to the core computational elements of temporal reasoning for use in AI systems for planning and scheduling, as well as systems that extract temporal information from data. It presents a survey of temporal frameworks based on constraints, both qualitative and quantitative, as...

Автор

Roman Barták

Game Theory for Data Science

Boi Faltings

Game Theory for Data Science

Скачать книгу (fb2, )

Intelligent systems often depend on data provided by information agents, for example, sensor data or crowdsourced human computation. Providing accurate and relevant data requires costly effort that agents may not always be willing to provide. Thus, it becomes important not only to verify the correctness of data, but also to provide incentives so that agents that provide high-quality data are rewarded while those that do not are discouraged by low rewards. We cover different settings and the...

Автор

Boi Faltings

Predicting Human Decision-Making

Sarit Kraus

Predicting Human Decision-Making

Скачать книгу (fb2, )

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 settings (e.g., security and games) to fully cooperative...

Автор

Sarit Kraus

Graph Representation Learning

William L. Hamilton

Graph Representation Learning

Скачать книгу (fb2, )

Автор

William L. Hamilton

Multi-Objective Decision Making

Diederik M. Roijers

Multi-Objective Decision Making

Скачать книгу (fb2, )

Many real-world decision problems have multiple objectives. For example, when choosing a medical treatment plan, we want to maximize the efficacy of the treatment, but also minimize the side effects. These objectives typically conflict, e.g., we can often increase the efficacy of the treatment, but at the cost of more severe side effects. In this book, we outline how to deal with multiple objectives in decision-theoretic planning and reinforcement learning algorithms. To illustrate this, we...

Автор

Diederik M. Roijers

Statistical Relational Artificial I...

Luc De Raedt

Statistical Relational Artificial Intelligence

Скачать книгу (fb2, )

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 calculus and its extensions. This book examines the foundations of combining...

Автор

Luc De Raedt

Metric Learning

Aurelien Bellet

Metric Learning

Скачать книгу (fb2, )

Автор

Aurelien Bellet

Introduction to Graph Neural Networ...

Zhiyuan Liu

Introduction to Graph Neural Networks

Скачать книгу (fb2, )

Автор

Zhiyuan Liu

Case-Based Reasoning

Beatriz López

Case-Based Reasoning

Скачать книгу (fb2, )

Автор

Beatriz López

Essential Principles for Autonomous...

Henry Hexmoor

Essential Principles for Autonomous Robotics

Скачать книгу (fb2, )

Автор

Henry Hexmoor

Robot Learning from Human Teachers

Sonia Chernova

Robot Learning from Human Teachers

Скачать книгу (fb2, )

Learning from Demonstration (LfD) explores techniques for learning a task policy from examples provided by a human teacher. The field of LfD has grown into an extensive body of literature over the past 30 years, with a wide variety of approaches for encoding human demonstrations and modeling skills and tasks. Additionally, we have recently seen a focus on gathering data from non-expert human teachers (i.e., domain experts but not robotics experts). In this book, we provide an introduction to the...

Автор

Sonia Chernova