Machine Learning

This book introduces the gamma-divergence, a measure of distance between probability distributions that was proposed by Fujisawa and Eguchi in 2008...

Explainable machine learning (XML), a subfield of AI, is focused on making complex AI models understandable to humans. This book highlights and exp...

This book discusses state-of-the-art reviews of the existing machine learning techniques and algorithms including hybridizations and optimizations....

Data Science, Big Data, and Artificial Intelligence are currently some of the most talked-about concepts in industry, government, and society, and ...

This book contains original, peer-reviewed research articles from the 5th International Conference on Recent Trends in Machine Learning, IoT, Smart...

Machine learning has led to incredible achievements in many different fields of science and technology. These varied methods of machine learning al...

This book is the first practical book on AI risk assessment and management. It will enable you to evaluate and implement safe and accurate AI model...

This book describes new theories and applications of artificial neural networks, with a special focus on answering questions in neuroscience, biolo...

Explore the capabilities of machine learning and neural networks. This comprehensive guidebook is tailored for professional programmers seeking to ...

This two-volume set, LNCS 15346 and LNCS 15347, constitutes the proceedings of the 25th International Conference on Intelligent Data Engineering an...

This two-volume set, LNCS 15346 and LNCS 15347, constitutes the proceedings of the 25th International Conference on Intelligent Data Engineering an...

This book reviews the state of the art in the exploitation of machine learning techniques for the astrophysics community and gives the reader a com...

This book connects information technology (IT) to the fisheries and aquaculture sectors. The topics covered in the book explore the diverse ways in...

The surge in renewable and distributed energy sources has posed significant challenges for smart power distribution network (SPDN). These challenge...

This book gives a comprehensive introduction to natural language processing (NLP) and its applications, covering the topics of multimodal data proc...

Machine learning has led to incredible achievements in many different fields of science and technology. These varied methods of machine learning al...

The multi-volume set of LNCS books with volume numbers 15059 up to 15147 constitutes the refereed proceedings of the 18th European Conference on Co...

The multi-volume set of LNCS books with volume numbers 15059 up to 15147 constitutes the refereed proceedings of the 18th European Conference on Co...

This book illustrates how to achieve effective dimension reduction and data clustering. The authors explain how to accomplish this by utilizing the...

Machine learning algorithms hold extraordinary promise, but the reality is that their success depends entirely on the suitability of the data avail...

This book introduces machine learning in finance and illustrates how we can use computational tools in numerical finance in real-world context. The...

Machine Learning (ML) algorithms have shown a high level of accuracy, and applications are widely used in many systems and platforms. However, deve...

Classification problems are common in business, medicine, science, engineering and other sectors of the economy. Data scientists and machine learni...

Classification problems are common in business, medicine, science, engineering and other sectors of the economy. Data scientists and machine learni...