Artificial intelligence

This book is a comprehensive reference in the field of neural networks and genome informatics.

The Self-Organizing Map, or Kohonen Map, is one of the most widely used neural network algorithms, with thousands of applications covered in the literature.

The environment, as modified and created by people, is largely about the use of information, its generation and exchange.

This collection represents the primary reference work for researchers and students in the area of Temporal Reasoning in Artificial Intelligence.

The Handbook of the Logic of Argument and Inference is an authoritative reference work in a single volume, designed for the attention of senior undergraduates, graduate students and researchers in all the leading research areas concerned with the logic of practical argument and inference.

This book was primarily written for an audience that has heard about neural networks or has had some experience with the algorithms, but would like to gain a deeper understanding of the fundamental material.

The aim of this book is to assemble a series of chapters, written by experts in their fields, covering the basics of color - and then some more.

The world stands at a pivotal moment due to the emergence of Generative AI, specifically ChatGPT.

Artificial Vision is a rapidly growing discipline, aiming to build computational models of the visual functionalities in humans, as well as machines that emulate them.

Artificial Intelligence is the study of how to build or program computers to enable them to do what minds can do.

Fuzzy set and logic theory suggest that all natural language linguistic expressions are imprecise and must be assessed as a matter of degree.

Intelligent systems are required to enhance the capacities being made available to us by the internet and other computer based technologies.

Sensors are the front end devices for information acquisition from the natural and/or artificial world.

In einer Welt, die zunehmend von digitalen Innovationen geprägt ist, gewinnen zwei Technologien besonders an Bedeutung: Non-Fungible Tokens (NFTs) und Künstliche Intelligenz (KI).

In recent years Genetic Algorithms (GA) and Artificial Neural Networks (ANN) have progressively increased in importance amongst the techniques routinely used in chemometrics.

What is fuzzy logic?

As user interface designers, software developers, and yes-as users, we all know the frustration that comes with using "e;one size fits all"e; software from off the shelf.

Learn Python 3, machine learning, and data visualization with ChatGPT/GPT-4.

Learn Python 3, machine learning, and data visualization with ChatGPT/GPT-4.

Traditional methods for creating intelligent computational systems haveprivileged private "e;internal"e; cognitive and computational processes.

Mining the Web: Discovering Knowledge from Hypertext Data is the first book devoted entirely to techniques for producing knowledge from the vast body of unstructured Web data.

Rather than using traditional artificial intelligence techniques, which are ineffective when applied to the complexities of real-world robot navigaiton, Connell describes a methodology of reconstructing intelligent robots with distributed, multiagent control systems.

This is the first text to provide a unified and self-contained introduction to visual pattern recognition and machine learning.

Neural networks have shown enormous potential for commercial exploitation over the last few years but it is easy to overestimate their capabilities.

The goal of image synthesis is to create, using the computer, a visual experience that is identical to what a viewer would experience when viewing a real environment.

After more than two decades of research activity, speech recognition has begun to live up to its promise as a practical technology and interest in the field is growing dramatically.

Accessible to all readers, including students of secondary school and amateur technology enthusiasts, Robotics, Mechatronics, and Artificial Intelligence simplifies the process of finding basic circuits to perform simple tasks, such as how to control a DC or step motor, and provides instruction on creating moving robotic parts, such as an "e;eye"e; or an "e;ear.

Investigative Data Mining for Security and Criminal Detection is the first book to outline how data mining technologies can be used to combat crime in the 21st century.

This book provides an in-depth treatment of the three important topics related to image and video databases: restoration, watermarking and retrieval.

An essential capacity of intelligence is the ability to learn.

Constraint satisfaction is a simple but powerful tool.

The use of evolution for creative problem solving is one of the most exciting and potentially significant areas in computer science today.

Based on the highly successful 3-volume reference Handbook of Computer Vision and Applications, this concise edition covers in a single volume the entire spectrum of computer vision ranging form the imaging process to high-end algorithms and applications.

One aspect of common sense reasoning is reasoning about normal cases, e.

Focusing on feature extraction while also covering issues and techniques such as image acquisition, sampling theory, point operations and low-level feature extraction, the authors have a clear and coherent approach that will appeal to a wide range of students and professionals.

Bioinformatics has never been as popular as it is today.

'To interlace or not to interlace' is a hot issue currently.

Foundations of Genetic Algorithms, Volume 6 is the latest in a series of books that records the prestigious Foundations of Genetic Algorithms Workshops, sponsored and organised by the International Society of Genetic Algorithms specifically to address theoretical publications on genetic algorithms and classifier systems.

This innovative textbook presents the key foundational concepts for a one-semester undergraduate course in the theory of computation.

Business Modeling and Data Mining demonstrates how real world business problems can be formulated so that data mining can answer them.

After decades of false starts, artificial intelligence (AI) is entering the mainstream of society.

Blondie24 tells the story of a computer that taught itself to play checkers far better than its creators ever could by using a program that emulated the basic principles of Darwinian evolution--random variation and natural selection-- to discover on its own how to excel at the game.

Intelligent agents are employed as the central characters in this new introductory text.

The wholesale capture and distribution of knowledge over the last thirty years has created an unprecedented need for organizations to manage their knowledge assets.

Learn how to develop intelligent applications with sequential learning and apply modern methods for language modeling with neural network architectures for deep learning with Python\'s most popular TensorFlow framework.

This volume is the first diverse and comprehensive treatment of algorithms and architectures for the realization of neural network systems.

An amazing journey into the hidden realm of nature's soundsThe natural world teems with remarkable conversations, many beyond human hearing range.

As artificial intelligence reshapes entire industries, business leaders face a stark reality-adapt or die.

Are you a data mining analyst, who spends up to 80% of your time assuring data quality, then preparing that data for developing and deploying predictive models?

Automated planning technology now plays a significant role in a variety of demanding applications, ranging from controlling space vehicles and robots to playing the game of bridge.