Machine Learning

This book will help readers understand fundamental and advanced statistical models and deep learning models for robust speaker recognition and doma...

Cluster analysis finds groups in data automatically. Most methods have been heuristic and leave open such central questions as: how many clusters a...

This authoritative work provides an in-depth treatment of state space methods, with a range of applications in neural and clinical data. Advanced a...

The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML PKDD 2010, was held in Barcelona,...

Entity resolution is a key analytic technique that enables you to identify multiple data records that refer to the same real-world entity. With thi...

This book collects together selected peer-reviewed contributions presented at the European Conference on Data Analysis, ECDA 2022, held in Naples, ...

The LNCS journal Transactions on Rough Sets is devoted to the entire spectrum of rough sets related issues, from logical and mathematical foundatio...

ThisLNCSvolumecontainsthepaperspresentedatthe8thSimulatedEvolution and Learning (SEAL 2010) Conference held during December 1-4, 2010 at the Indian...

Cutting through the mass of technical literature on machine learning and AI and the plethora of fear-mongering books on the rise of killer robots, ...

Machine Learning under Resource Constraints addresses novel machine learning algorithms that are challenged by high-throughput data, by high dimens...

This book starts from the classic recommendation algorithms, introduces readers to the basic principles and main concepts of the traditional algori...

The Handbook on Computer Learning and Intelligence is a second edition which aims to be a one-stop-shop for the various aspects of the broad resear...

This textbook introduces the fundamental concepts and methods of statistical learning. It uses Python and provides a unique approach by blending th...

This book constitutes a review of recent developments in the theory and practical exploitation of the elliptical model for measured data in both cl...

Across three volumes, the Handbook of Image Processing and Computer Vision presents a comprehensive review of the full range of topics that compris...

This book brings together the essential methodologies required to understand the advancement of digital technologies into digital transformation, a...

Harness the power of MATLAB to resolve a wide range of machine learning challenges. This book provides a series of examples of technologies critica...

Develop a mathematical intuition around machine learning algorithms to improve model performance and effectively troubleshoot complex ML problems. ...

Transfer learning is one of the most important technologies in the era of artificial intelligence and deep learning. It seeks to leverage existing ...

The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML PKDD 2010, was held in Barcelona,...

The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML PKDD 2010, was held in Barcelona,...

The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML PKDD 2010, was held in Barcelona,...

Machine Learning under Resource Constraints addresses novel machine learning algorithms that are challenged by high-throughput data, by high dimens...

A remarkable facet of the human brain is its ability to manage multiple tasks with apparent simultaneity. Knowledge learned from one task can then ...

Bridges the gap between AI and neuroscience by telling the story of how the brain came to be. 'I found this book amazing' Daniel Kahneman...