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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...
Issues in Cultural Tourism Studies
The extensively revised second edition of Issues in Cultural Tourism Studies provides a new framework for analyzing the complexity of cultural tourism and its increasing globalization in existing as well as emergent destinations of the world. The book will focus in particular on the need for even more creative tourism strategies to differentiate destinations from each other using a blend of localized cultural products and innovative global attractions. The book explores many of the most pertinent issues in heritage, arts, festivals, indigenous, ethnic and experiential cultural tourism in urban and rural environments alike. This includes policy and politics; impact management and sustainable ...
Crisis Management in Tourism
Using examples from the UK, Europe, America, Australia and Asia, this book provides an analysis of the latest thinking and practice in dealing with extreme and sudden reductions in demand for specific tourist destinations or products. It shows that managerial responses, including problem solving and market recovery steps, vary in effectiveness and that recovery may be slow after initial problems are overcome.
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...
Biomedical Natural Language Processing
Biomedical Natural Language Processing is a comprehensive tour through the classic and current work in the field. It discusses all subjects from both a rule-based and a machine learning approach, and also describes each subject from the perspective of both biological science and clinical medicine. The intended audience is readers who already have a background in natural language processing, but a clear introduction makes it accessible to readers from the fields of bioinformatics and computational biology, as well. The book is suitable as a reference, as well as a text for advanced courses in biomedical natural language processing and text mining.
Depression and Diabetes
In recent years, there has been a growing awareness of the multiple interrelationships between depression and various physical diseases. The WPA is providing an update of currently available evidence on these interrelationships by the publication of three books, dealing with the comorbidity of depression with diabetes, heart disease and cancer. Depression is a frequent and serious comorbid condition in diabetes, which adversely affects quality of life and the long-term prognosis. Co-occurrent depression presents peculiar clinical challenges, making both conditions harder to manage. Depression and Diabetes is the first book devoted to the interaction between these common disorders. World lead...
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.
The AMDP System
The 9th edition of this valuable tool for assessing and documenting psychopathology, now in English! Now in its 9th edition, the AMDP System is a widely used tool for documenting psychiatric symptoms in clinical and research projects. It is not only an essential part of many internal clinical documentation systems, but it is also a valuable instrument for training the identification of psychopathological symptoms. This new edition, now in English, involved the complete revision of the psychopathological and somatic symptoms, with particular attention to the elimination of ambiguities and inconsistencies, to the precision of definitions, to the exact differentiation of the self and other rati...
Nişancı Abdurrahman Abdî Paşa Divançesi
Altı asırdan fazla varlığını sürdürmüş olan Osmanlı Devleti, Türklerin tarih içerisinde kurduğu en güçlü devletlerden birisidir. Bu devlet, pek çok sahada olduğu gibi edebî sahada da büyük bir başarı göstererek adını tarihe altın harflerle kazımıştır. Şüphesiz bunda devletin şairlerine daima kol kanat gerip onları iyi şiir yazmaya teşvik etmesi yanında padişahların ve devlet adamlarının pek çoğunun şair olmasının payı da oldukça büyüktür. Avnî mahlasıyla Fatih Sultan Mehmet, Selîmî mahlasıyla Yavuz Sultan Selim ve Muhibbî mahlasıyla Kanûnî Sultan Süleyman bir divan oluşturacak kadar şiir yazmış başta gelen Osmanlı sultanlar...
Chronic Myeloproliferative Disorders
With the new classification of chronic myeloproliferative disorders, and the rise of interest in molecularly targeted therapies, this timely text brings together international experts on the topic to discuss the current technologies and their implications for the treatment of patients. This title comprehensively covers chronic myeloid leukemia and Ph-negative chronic myeloproliferative disorders and is an essential resource for all practitioners in Hematologic Oncology.
