Artificial Intelligence

In this book, the authors present current research in the study of the practices, perspectives and challenges of pattern recognition. Topics includ...

This encyclopedia provides a comprehensive reference to topics in biometrics including concepts, modalities, algorithms, devices, systems, security...

Having overcome the high costs and poor accuracy that once stunted its growth, one form of biometric technology -- facial recognition -- is quickly...

Face recognition has been an active area of research in image processing and computer vision due to its extensive range of prospective applications...

The primary goal of this book is to provide students and practitioners in the field of image analysis with cohesive information and innovative (nov...

In nonparametric and high-dimensional statistical models, the classical GaussFisherLe Cam theory of the optimality of maximum likelihood estimators...

The design patterns in this book capture best practices and solutions to recurring problems in machine learning. The authors, three Google engineer...

This easy-to-use reference for TensorFlow 2 design patterns in Python will help you make informed decisions for various use cases. Author KC Tung a...

Agriculture is one of the most fundamental human activities. It has kept humans happier and healthier and helped birth modern society as we know it...

A thought-provoking look at statistical learning theory and its role in understanding human learning and inductive reasoning A joint endeavor fr...

This is a comprehensive book on the theories of artificial intelligence with an emphasis on their applications. It combines fuzzy logic and neural ...

The book begins with a chapter on traditional methods of supervised learning, covering recursive least squares learning, mean square error methods,...

In this book, the authors present topical research in the study of the architectures and modelling in neurocomputing. Topics discussed include a br...

Thermodynamic analysis of the refrigeration system is very complex because of the thermodynamic properties equations of working fluids, involving t...

Now that storage and collection technologies are cheaper and more precise, methods for extracting relevant information from large datasets is withi...

An introduction to decision making under uncertainty from a computational perspective, covering both theory and applications ranging from speech re...

Phase transitions typically occur in combinatorial computational problems and have important consequences, especially with the current spread of st...

Reflects current research in natural language processing, data mining, networks and network security, robotics, image processing and bioinformatics...

Building on , this volume on Optimization and Decision Making covers a range of algorithms and their applications. Like the first volume, it provid...

Advanced statistical modeling and knowledge representation techniques for a newly emerging area of machine learning and probabilistic reasoning; in...

An authority on creativity introduces us to AI-powered computers that are creating art, literature, and music that may well surpass the creations o...

Written by leading researchers, this complete introduction brings together all the theory and tools needed for building robust machine learning in ...

Data-driven discovery is revolutionizing the modeling, prediction, and control of complex systems. This textbook brings together machine learning, ...

A guide to understanding the inner workings and outer limits of technology and why we should never assume that computers always get it right. In...

With the reinvigoration of neural networks in the 2000s, deep learning has become an extremely active area of research, one that's paving the way f...