Trusting Agents For Trusting Electronic Societies Theory And Applications in Hci And Ecommerce

Master Deep Learning and Neural Networks Theory and Applications with Python and PyTorch! Including NLP and Transformers

This textbook is an introduction to the subject of inverse problems with an emphasis on practical solution methods and applications from geophysics. The treatment is mathematically rigorous, relying on calculus and linear algebra only; familiarity with more advanced mathematical theories like functional analysis is not required.

This book offers a comprehensive guide to large sample techniques in statistics. More importantly, it focuses on thinking skills rather than just what formulae to use; it provides motivations, and intuition, rather than detailed proofs; it begins with very simple techniques, and connects theory and applications in entertaining ways.

An outgrowth of the 12th International Conference on Applied Stochastic Models and Data Analysis, this book is a collection of invited chapters presenting recent developments in the field of data analysis, with applications to reliability and inference, data mining, bioinformatics, lifetime data, and neural networks. Emphasized throughout the volume are new methods with the potential for solving real-world problems in various areas.

This book applies a decision systems science perspective to social systems, using the case of Southeast Asia to illustrate the concepts it sets forth. Southeast Asia is one of the most culturally diverse parts of the world, comprising 11 countries with a combined population of approximately 647 million people. The focus is on Indonesia, the largest and most populous country in the region.

This book covers robust optimization theory and applications in the electricity sector. The advantage of robust optimization with respect to other methodologies for decision making under uncertainty are first discussed. Then, the robust optimization theory is covered in a friendly and tutorial manner. Finally, a number of insightful short- and long-term applications pertaining to the electricity sector are considered.

This book applies a decision systems science perspective to social systems, using the case of Southeast Asia to illustrate the concepts it sets forth. Southeast Asia is one of the most culturally diverse parts of the world, comprising 11 countries with a combined population of approximately 647 million people. The focus is on Indonesia, the largest and most populous country in the region.

This is the first book to provide an accessible and comprehensive introduction to a newly developed smoothing technique using asymmetric kernel functions. Further, it discusses the statistical properties of estimators and test statistics using asymmetric kernels. The topics addressed include the bias-variance tradeoff, smoothing parameter choices, achieving rate improvements with bias reduction techniques, and estimation with weakly dependent data. Further, the large- and finite-sample properties of estimators and test statistics smoothed by asymmetric kernels are compared with those smoothed by symmetric kernels. Lastly, the book addresses the applications of asymmetric kernel estimation and testing to various forms of nonnegative economic and financial data.