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This book constitutes the proceedings of the 23rd International TRIZ... Læs mere
This book focuses on the widespread use of deep neural networks and their various techniques in session-based recommender systems (SBRS).
The book presents the results of studies on selected problems (such as predictive model of transcription initiation and termination, protein... Læs mere
Presents a description and analysis of the concepts, processes, and technologies used in the development and implementation of an effective customer... Læs mere
This book explores the need for a data-centric AI approach and its application in the multidisciplinary domain, compared to a model-centric approach.
As data continues to grow exponentially, knowledge of data science and machine learning has become more crucial than ever. Machine learning has grown exponentially, however, the abundance of resources can be overwhelming
Eventually, open issues and future work on QA are discussed in Chapter 9.This book delivers a comprehensive overview on QA over text, QA over knowledge base, and hybrid QA systems which can be used by researchers starting in this field.