This book introduces computational proximity (CP) as an algorithmic approach to finding nonempty sets of points that are either close to each other or far apart. Typically in computational proximity, the book starts with some form of proximity space (topological space equipped with a proximity relation) that has an inherent geometry. In CP, two types of near sets are considered, namely, spatially near sets and descriptivelynear sets. It is shown that connectedness, boundedness, mesh nerves, convexity, shapes and shape theory are principal topics in the study of nearness and separation of...
This book introduces computational proximity (CP) as an algorithmic approach to finding nonempty sets of points that are either close to each other...
Time series analysis andmodelling represent a large study field, implying the approach from theperspective of the time and frequency, with applications in different domains.
Time series analysis andmodelling represent a large study field, implying the approach from theperspective of the time and frequency, with application...
This successful book provides in its second edition an interactive and illustrative guide from two-dimensional curve fitting to multidimensional clustering and machine learning with neural networks or support vector machines. Along the way topics like mathematical optimization or evolutionary algorithms are touched. All concepts and ideas are outlined in a clear cut manner with graphically depicted plausibility arguments and a little elementary mathematics.The major topics are extensively outlined with exploratory examples and applications. The primary goal is to be as illustrative as...
This successful book provides in its second edition an interactive and illustrative guide from two-dimensional curve fitting to multidimensional clust...
This volume introduces new approaches in intelligent control area fromboth the viewpoints of theory and application. Some of the chapters introduce specific case studies of various intelligentcontrol systems and others focus on intelligent theory based control techniqueswith applications.
This volume introduces new approaches in intelligent control area fromboth the viewpoints of theory and application. Some of the chapters introduce sp...
This book presents an Introduction and 11 independent chapters, which are devoted to various new approaches of intelligent image processing and analysis. The book also presents new methods, algorithms and applied systems for intelligent image processing, on the following basic topics:
Methods for Hierarchical Image Decomposition;
Intelligent Digital Signal Processing and Feature Extraction;
Data Clustering and Visualization via Echo State Networks;
Clustering of Natural Images in Automatic Image Annotation Systems;
Control...
This book presents an Introduction and 11 independent chapters, which are devoted to various new approaches of intelligent image processing and analys...
This monograph provides a comprehensive research review of intelligent techniques for personalisation of e-learning systems. Special emphasis is given to intelligent tutoring systems as a particular class of e-learning systems, which support and improve the learning and teaching of domain-specific knowledge.
A new approach to perform effective personalization based on Semantic web technologies achieved in a tutoring system is presented. This approach incorporates a recommender system based on collaborative tagging techniques that adapts to the interests and level of students'...
This monograph provides a comprehensive research review of intelligent techniques for personalisation of e-learning systems. Special emphasis is gi...
Despite the high level of maturity now attained in prescriptive Bayesian decision making, real decision makers choose such Bayes-optimal solutions surprisingly infrequently. This book shows how these imperfections could be coped with in real life.
Despite the high level of maturity now attained in prescriptive Bayesian decision making, real decision makers choose such Bayes-optimal solutions sur...
This book discusses a wide spectrum of optimization methods from classical to modern, including heuristics. Coverage includes such approaches as game theory, evolutionary algorithms and modeling of evolutionary algorithm dynamics as found in complex networks.
This book discusses a wide spectrum of optimization methods from classical to modern, including heuristics. Coverage includes such approaches as game ...
