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Latent Factor Analysis for High-dimensional and Sparse Matrices
Latent factor analysis models are an effective type of machine learning model for addressing high-dimensional and sparse matrices, which are encountered in many big-data-related …
Preference Query Analysis and Optimization
This book analyzes unexpected preference query results for three problems: causality and responsibility problems, why-not and why questions, and why-few and why-many questions. …
Deep Learning in Solar Astronomy
The volume of data being collected in solar astronomy has exponentially increased over the past decade and we will be entering the age of petabyte solar data. Deep learning has …
Low Resource Social Media Text Mining
This book focuses on methods that are unsupervised or require minimal supervision—vital in the low-resource domain. Over the past few years, rapid growth in Internet access across …
Visual and Text Sentiment Analysis through Hierarchical Deep Learning Networks
This book presents the latest research on hierarchical deep learning for multi-modal sentiment analysis. Further, it analyses sentiments in Twitter blogs from both textual and …
Robot Control and Calibration
This book mainly shows readers how to calibrate and control robots. In this regard, it proposes three control schemes: an error-summation enhanced Newton algorithm for model …
Deep Learning: Convergence to Big Data Analytics
This book presents deep learning techniques, concepts, and algorithms to classify and analyze big data. Further, it offers an introductory level understanding of the new …
Dynamic Network Representation Based on Latent Factorization of Tensors
A dynamic network is frequently encountered in various real industrial applications, such as the Internet of Things. It is composed of numerous nodes and large-scale dynamic …
Knowledge-augmented Methods for Natural Language Processing
Over the last few years, natural language processing has seen remarkable progress due to the emergence of larger-scale models, better training techniques, and greater availability …
Internet Video Data Streaming
This book investigates the problem of reducing operating cost for a video streaming content delivery network (CDN), including both the CDN’s energy and traffic costs. It first …
Speech-to-Speech Translation
This book provides the readers with retrospective and prospective views with detailed explanations of component technologies, speech recognition, language translation and speech …
Auction based Resource Provisioning in Cloud Computing
The book, while introducing readers to the auction mechanism for resource provisioning in cloud computing, also endeavors to provide structured literature on the subject. Since …