This book presents a cutting-edge research procedure in the Nature-Inspired Computing (NIC) domain and its connections with computational intelligence areas in real-world engineering applications.
This book starts by presenting the basics of reinforcement learning using highly intuitive and easy-to-understand examples and applications, and then introduces the cutting-edge research advances that make reinforcement learning capable of out-performing most state-of-art systems, and even humans in a number of applications.
Many machine learning tasks involve solving complex optimization problems, such as working on non-differentiable, non-continuous, and non-unique objective functions; in some cases it can prove difficult to even define an explicit objective function.
This book introduces readers to the background, general framework, main operators, and other basic characteristics of biogeography-based optimization (BBO), which is an emerging branch of bio-inspired computation.
This book systematically analyses the latest insights into night vision imaging processing and perceptual understanding as well as related theories and methods.
This compendium provides a detailed account of the lognormality principle characterizing the human motor behavior by summarizing a sound theoretical framework for modeling such a behavior, introducing the most recent algorithms for extracting the lognormal components of complex movements in 2, 2.
Recommender systems provide users (businesses or individuals) with personalized online recommendations of products or information, to address the problem of information overload and improve personalized services.
Multi-objective optimization problems (MOPs) and uncertain optimization problems (UOPs) which widely exist in real life are challengeable problems in the fields of decision making, system designing, and scheduling, amongst others.
This unique volume is an introduction for computer scientists, including a formal study of theoretical algorithms for Big Data applications, which allows them to work on such algorithms in the future.
This book provides explicit representations of finite-dimensional simple Lie algebras, related partial differential equations, linear orthogonal algebraic codes, combinatorics and algebraic varieties, summarizing the author's works and his joint works with his former students.
This book introduces novel solutions to the rendezvous problem in distributed systems, a fundamental problem that underpins the construction of many important functions in distributed systems and networks.
This book not only provides a comprehensive introduction to neural-based PCA methods in control science, but also presents many novel PCA algorithms and their extensions and generalizations, e.
This book describes grouping detection and initiation; group initiation algorithm based on geometry center; data association and track continuity; as well as separate-detection and situation cognition for group-target.
Turn your love of video games into a new love of programming by learning the ins and outs of writing code while also learning how to keep track of high scores, what video game heroes and loot boxes are made of, how the dreaded RNG (random number generation) works, and much, much more.
Este libro es una propuesta metodológica, sistemática y generalizada en la cual se especifican los pasos que se deben seguir para la aplicación de la minería de procesos, desde la planeación de un proyecto hasta la implantación de sus alternativas de mejora.
El objetivo de este libro es mostrar una técnica conocida como "Regresión Simbólica", la cual es una aplicación de los algoritmos genéticos para la búsqueda de patrones en una serie de datos.
In this monograph we introduce and examine four new temporal logic formalisms that can be used as specification languages for the automated verification of the reliability of hardware and software designs with respect to a desired behavior.
In this work we plan to revise the main techniques for enumeration algorithms and to show four examples of enumeration algorithms that can be applied to efficiently deal with some biological problems modelled by using biological networks: enumerating central and peripheral nodes of a network, enumerating stories, enumerating paths or cycles, and enumerating bubbles.
The main objectives of this book are to expose key aspects that have a relevance when dealing with open data viewed from different perspectives and to provide appealing examples of how open data is implemented worldwide.
The new multimedia standards (for example, MPEG-21) facilitate the seamless integration of multiple modalities into interoperable multimedia frameworks, transforming the way people work and interact with multimedia data.
In response to a growing interest in Total Least Squares (TLS) and Errors-In-Variables (EIV) modeling by researchers and practitioners, well-known experts from several disciplines were invited to prepare an overview paper and present it at the third international workshop on TLS and EIV modeling held in Leuven, Belgium, August 27-29, 2001.
Eastern and Western, NATO partner and member country specialists discuss recent accomplishments in the sharing of timely, accurate data and information to protect the water resources of the Danube Basin, a strategic region shared by two Western and 11 former Communist countries.
The aim of this book is to present the mathematical theory and the know-how to make computer programs for the numerical approximation of Optimal Control of PDE's.
The Issues, Conclusions, and Recommendations of the NATO Advanced Research Workshop - Budapest, Hungary July 27 -31, 1997 TIlOMAS NAFF University of Pennsylvania 847 Williams Hall Philadelphia, PA 19104-6305 USA tna.
Helene Bestougeff, Universite de Marne Ia Vallee, France Jacques-Emile Dubois, Universite Paris VII-Denis Diderot, France Bhavani Thuraisingham, MITRE Corporation, USA The last fifty years promoted the conceptual trio: Knowledge, Information and Data (KID) to the center of our present scientific technological and human activities.
This book comprises the refereed papers together with the invited keynote papers, presented at the Second International Conference on Enterprise Information Systems.
Reasoning is an integral part of intelligent systems in fields like databases, logic programming, robotics, knowledge engineering, human/computer interfaces, programming environments, etc.
User-adaptive (or "e;personalized"e;) systems take individual character- istics of their current users into account and adapt their behavior ac- cordingly.
From the foreword by Thomas Huang: "e;During the past decade, researchers in computer vision have found that probabilistic machine learning methods are extremely powerful.