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EDUCAÇÃO E ENSINO EM DIFERENTES CONTEXTOS: Diálogo entre Saberes e Práticas – Volume 1
Esta obra reúne capítulos das várias áreas do conhecimento e níveis de escolaridade que oportunizem, de algum modo, reflexões teórico-práticas por meio das diversas discussões em torno das abordagens em Educação e Ensino e com intuito de contribuir na formação dos alunos e dos professores de modo holístico. Participam capítulos que apresentam diálogos dos múltiplos saberes e variadas práticas interdisciplinares que tratam das diferentes questões compatíveis entre ensino e aprendizagem.
Graph Representation Learning
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 networks to graph-structured data, and neural message-passing approaches inspired by belief propagation. These advances in graph representation learning have led to new state-of-the-art results in numerous domains, including chemical sy...
Federated Learning
This book provides a comprehensive and self-contained introduction to federated learning, ranging from the basic knowledge and theories to various key applications. Privacy and incentive issues are the focus of this book. It is timely as federated learning is becoming popular after the release of the General Data Protection Regulation (GDPR). Since federated learning aims to enable a machine model to be collaboratively trained without each party exposing private data to others. This setting adheres to regulatory requirements of data privacy protection such as GDPR. This book contains three main parts. Firstly, it introduces different privacy-preserving methods for protecting a federated lear...
Food Science and Technology
This brand new comprehensive text and reference book is designed to cover all the essential elements of food science and technology, including all core aspects of major food science and technology degree programs being taught worldwide. Food Science and Technology, supported by the International Union of Food Science and Technology comprises 21 chapters, carefully written in a user-friendly style by 30 eminent industry experts, teachers and researchers from across the world. All authors are recognised experts in their respective fields, and together represent some of the world’s leading universities and international food science and technology organisations. Expertly drawn together, produ...
Program Synthesis
Program synthesis is the task of automatically finding a program in the underlying programming language that satisfies the user intent expressed in the form of some specification. Since the inception of artificial intelligence in the 1950s, this problem has been considered the holy grail of Computer Science. Despite inherent challenges in the problem such as ambiguity of user intent and a typically enormous search space of programs, the field of program synthesis has developed many different techniques that enable program synthesis in different real-life application domains. It is now used successfully in software engineering, biological discovery, compute-raided education, end-user programm...
Representation Learning for Natural Language Processing
This open access book provides an overview of the recent advances in representation learning theory, algorithms and applications for natural language processing (NLP). It is divided into three parts. Part I presents the representation learning techniques for multiple language entries, including words, phrases, sentences and documents. Part II then introduces the representation techniques for those objects that are closely related to NLP, including entity-based world knowledge, sememe-based linguistic knowledge, networks, and cross-modal entries. Lastly, Part III provides open resource tools for representation learning techniques, and discusses the remaining challenges and future research directions. The theories and algorithms of representation learning presented can also benefit other related domains such as machine learning, social network analysis, semantic Web, information retrieval, data mining and computational biology. This book is intended for advanced undergraduate and graduate students, post-doctoral fellows, researchers, lecturers, and industrial engineers, as well as anyone interested in representation learning and natural language processing.
Convex Optimization
Convex optimization problems arise frequently in many different fields. This book provides a comprehensive introduction to the subject, and shows in detail how such problems can be solved numerically with great efficiency. The book begins with the basic elements of convex sets and functions, and then describes various classes of convex optimization problems. Duality and approximation techniques are then covered, as are statistical estimation techniques. Various geometrical problems are then presented, and there is detailed discussion of unconstrained and constrained minimization problems, and interior-point methods. The focus of the book is on recognizing convex optimization problems and then finding the most appropriate technique for solving them. It contains many worked examples and homework exercises and will appeal to students, researchers and practitioners in fields such as engineering, computer science, mathematics, statistics, finance and economics.
Graph-Based Semi-Supervised Learning
While labeled data is expensive to prepare, ever increasing amounts of unlabeled data is becoming widely available. In order to adapt to this phenomenon, several semi-supervised learning (SSL) algorithms, which learn from labeled as well as unlabeled data, have been developed. In a separate line of work, researchers have started to realize that graphs provide a natural way to represent data in a variety of domains. Graph-based SSL algorithms, which bring together these two lines of work, have been shown to outperform the state-of-the-art in many applications in speech processing, computer vision, natural language processing, and other areas of Artificial Intelligence. Recognizing this promis...
Minimalist Interiors
Drawing from cultural developments as diverse as modernist art and Asian philosophy, minimalism in interior design is nothing less than a celebration of the perfect expression of space. Minimalist Interiors presents 26 examples of residences from around the world that perfectly balance essential elements of shape, light, and form to create truly unique living spaces. From a glass house to a house without walls, from an extention of a single-family home to apartment renovations, this book presents solutions and ideas for all types of residences. Interiors for every room in the house are included, in varying sizes, all from well-known architects and designers who specialize in minimalist treatment Through exquisite photography, technical plans, and innovative design, Minimalist Interiors will inspire home design enthusiasts to achieve the same effects -- creating an intensely personal oasis of tranquility in their own home.
Imagination in Teaching and Learning
Young people learn most readily when their imaginations are engaged and teachers teach most successfully when they are able to see their subject matter from their pupils' point of view. It is, however, difficult to define imagination in practice and even more difficult to make full use of its potential. In this original and stimulating book, Kieran Egan, winner of the prestigous Grawemeyer award for education in 1991, discusses what imagination really means for children and young people in the middle years and what its place should be in the midst of the normal demands of classroom teaching and learning. Egan uses a bright and witty style to move from a brief history of the ways in which imagination has been regarded over the years, through a general discussion of the links between learning and imagination. A selection of sample lesson plans show teachers how they can encourage effective learning through stimulating pupils' imaginations in a variety of curriculum areas, including maths, science, social studies and language work.
