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This book discusses the Internet of Things (IoT) and Data Analytics from a technical, application, and business point of view. It describes... Læs mere
Bayesian compressive sensing/sampling is a very efficient analytic and simulation method for modelling spatial geo-data from sparse measurements,... Læs mere
The book is a practical and comprehensive guide to the impact of deep learning in the real world across sectors like healthcare, finance, and autonomous systems.... Læs mere
Table of Contents: Ensembles Discovered / Predictive Learning and Decision Trees / Model Complexity, Model Selection and Regularization / Importance Sampling and the Classic Ensemble Methods / Rule Ensembles and Interpretation Statistics / Ensemble Complexity
This lecture, from a data mining perspective, introduces characteristics of social media, reviews representative tasks of computing with social media, and illustrates associated challenges.
This includes a critical discussion of interaction, the identification of links between the key aspects of interaction, and the formulation of research topics for future work with a focus on interaction.
As specific examples, this book details GPGPU usages to produce fast enough visualization to be interactive with improved brushing... Læs mere
While software developers have worked for many years to develop software that helps users do their tasks, this task is becoming more and more onerous, as... Læs mere
This book provides a comprehensive presentation of a recently introduced framework, named "probabilistic indexing" (PrIx), for searching text in large collections of document images and other related applications.
This book explains how all persons with Western European ancestry are related through a Unifying Ancestry. The author successfully demonstrates that a Unifying Ancestry with 38,533 persons is sufficient to identify familial relationships between Western Europeans.