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The Archaeology of Imperial Landscapes
This book examines the poorly understood transformations in rural landscapes and societies that formed the backbone of ancient empires.
Theories of Personality
This revision of the Schultz's popular text surveys the field, presenting theory-by-theory coverage of the major theorists who represent the psychoanalytic, neopsychoanalytic, life-span, trait, humanistic, cognitive, behavioral, and social-learning approaches, as well as clinical and experimental work. Where warranted, the authors show how the development of certain theories was influenced by events in a theorist's personal and professional life. This thoroughly revised Seventh Edition now incorporates more examples, tables, and figures to help bring the material to life for students. The new content in this edition reflects the dynamism in the field. The text explores how race, gender, and culture issues figure in the study of personality and in personality assessment. In addition, a final integrative chapter looks at the study of personality theories and suggests conclusions that can be drawn from the many theorists' work.
Ancient Mesopotamia
"This splendid work of scholarship . . . sums up with economy and power all that the written record so far deciphered has to tell about the ancient and complementary civilizations of Babylon and Assyria."—Edward B. Garside, New York Times Book Review Ancient Mesopotamia—the area now called Iraq—has received less attention than ancient Egypt and other long-extinct and more spectacular civilizations. But numerous small clay tablets buried in the desert soil for thousands of years make it possible for us to know more about the people of ancient Mesopotamia than any other land in the early Near East. Professor Oppenheim, who studied these tablets for more than thirty years, used his intima...
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...
Chaldean Magic
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Mesopotamia
Der erste Teil bietet eine kritische Gesamtschau unseres Wissens und zugleich eine EinfÃ"hrung in das Studium der altassyrischen Epoche (die ersten beiden Jahrhunderte des 2. Jahrtausends), wie wir sie durch Entdeckungen in Assur und die Keilschriftarchive der altassyrischen Händler kennen, die in der Handelskolonie (genannt karum) in der Unterstadt des alten Kanesh (moderne KÃ"ltepe) in Zentralanatolien lebten. Die ersten Kapitel bestimmen, was "altassyrisch" ist und analysieren die Chronologie und die verfÃ"gbaren archäologischen und schriftlichen Quellen. Darauf folgt eine kritische Darstellung der Veröffentlichungen zu den altassyrischen Quellen. Nach einem Abriss der Altassy...
The Arcane Schools
This hardbound edition of Yarker's classic opus is not merely another facsimile edition. It has been completely reformatted, yet retains a look and feel that is comparable to the original 1909 edition, right down to the blue cloth binding and gold stamped spine. From Alchemy to Zoroaster, and everything in between, The Arcane Schools continues to be one of the most comprehensive and authoritative works concerning the history and migration of the Western Mystery Tradition. Students of Freemasonry, Rosicrucianism, and Theosophy will find this to be an indispensable addition to their collection.
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...
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.
