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Multilabel Classification
This book offers a comprehensive review of multilabel techniques widely used to classify and label texts, pictures, videos and music in the Internet. A deep review of the specialized literature on the field includes the available software needed to work with this kind of data. It provides the user with the software tools needed to deal with multilabel data, as well as step by step instruction on how to use them. The main topics covered are: • The special characteristics of multi-labeled data and the metrics available to measure them.• The importance of taking advantage of label correlations to improve the results.• The different approaches followed to face multi-label classification.â€...
Computational Techniques in Neuroscience
The text discusses the techniques of deep learning and machine learning in the field of neuroscience, engineering approaches to study the brain structure and dynamics, convolutional networks for fast, energy-efficient neuromorphic computing, and reinforcement learning in feedback control. It showcases case studies in neural data analysis. Features: Focuses on neuron modeling, development, and direction of neural circuits to explain perception, behavior, and biologically inspired intelligent agents for decision making Showcases important aspects such as human behavior prediction using smart technologies and understanding the modeling of nervous systems Discusses nature-inspired algorithms suc...
Iberian Books Volumes II & III / Libros Ibéricos Volúmenes II y III (2 vols)
Iberian Books II & III presents an indispensable foundational listing of everything known to have been published in Spain, Portugal and the New World, or of items printed in Spanish or Portuguese elsewhere, during the first half of the seventeenth century. Drawing on library catalogues, specialist bibliographies and studies, as well as auction catalogue records, Iberian Books lists 45,000 items, and the locations of some 215,000 copies surviving in 1,800 collections worldwide. These volumes offer a powerful research tool which will appeal to researchers, librarians and to the book selling and collecting communities. They will prove invaluable to anyone with a research interest in the literat...
The Discovery and Conquest of Peru
Dazzled by the sight of the vast treasure of gold and silver being unloaded at Seville’s docks in 1537, a teenaged Pedro de Cieza de León vowed to join the Spanish effort in the New World, become an explorer, and write what would become the earliest historical account of the conquest of Peru. Available for the first time in English, this history of Peru is based largely on interviews with Cieza’s conquistador compatriates, as well as with Indian informants knowledgeable of the Incan past. Alexandra Parma Cook and Noble David Cook present this recently discovered third book of a four-part chronicle that provides the most thorough and definitive record of the birth of modern Andean America. It describes with unparalleled detail the exploration of the Pacific coast of South America led by Francisco Pizarro and Diego de Almagro, the imprisonment and death of the Inca Atahualpa, the Indian resistance, and the ultimate Spanish domination. Students and scholars of Latin American history and conquest narratives will welcome the publication of this volume.
Learning from Imbalanced Data Sets
This book provides a general and comprehensible overview of imbalanced learning. It contains a formal description of a problem, and focuses on its main features, and the most relevant proposed solutions. Additionally, it considers the different scenarios in Data Science for which the imbalanced classification can create a real challenge. This book stresses the gap with standard classification tasks by reviewing the case studies and ad-hoc performance metrics that are applied in this area. It also covers the different approaches that have been traditionally applied to address the binary skewed class distribution. Specifically, it reviews cost-sensitive learning, data-level preprocessing metho...
