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Cluster analysis means the organization of an unlabeled collection of objects or patterns into separate groups based on their similarity. The task of computerized data clustering has been approached from diverse domains of knowledge like graph theory, multivariate analysis, neural networks, fuzzy set theory, and so on. Clustering is often described as an unsupervised learning method but most of the traditional algorithms require a prior specification of the number of clusters in the data for guiding the partitioning process, thus making it not completely unsupervised. Modern data mining...

In sport disciplines such as running, ice skating, bicycling and cross-country skiing the aerodynamic drag force constitutes the major obstacle to overcome. Furthermore, in ski jumping and in various activities involving a ball the aerodynamic lift force comes in addition into action.

This book describes the various sport disciplines on the basis of aerodynamic analysis and also cover the biomechanics part by illustrative performance examples. Such treatment of the underlying physical phenomena of sport activities gives a valuable supplement to existing literature on sport. The...

Archaeological research has long focused on studying tangible artifacts to build a picture of the cultures it examines. Equally important to understanding a culture, however, are the intangible elements that become part of its heritage. In 2003, UNESCO adopted a convention specifically to protect intangible heritage, including the following: oral traditions and expressions, including language; performing arts (such as traditional music, dance, and theater); social practices, rituals, and festive events; knowledge and practices concerning nature and the universe; and traditional...

In recent years, the use of Artificial Intelligence (AI) techniques has been greatly increased. The term intelligence seems to be a must in a large number of European and International project calls. AI Techniques have been used in almost any domain. Application-oriented systems usually incorporate some kind of intelligence by using techniques stemming from intelligent search, knowledge representation, machine learning, knowledge discovery, intelligent agents, computational intelligence etc. The Workshop on Applications with Artificial Intelligence seeks for quality papers on computer...

In Risk Analysis of Complex and Uncertain Systems acknowledged risk authority Tony Cox shows all risk practitioners how Quantitative Risk Assessment (QRA) can be used to improve risk management decisions and policies. It develops and illustrates QRA methods for complex and uncertain biological, engineering, and social systems - systems that have behaviors that are just too complex to be modeled accurately in detail with high confidence - and shows how they can be applied to applications including assessing and managing risks from chemical carcinogens, antibiotic resistance, mad...

Over the last decade a number of research areas have contributed to the concept of advanced intelligent environments, these include ubiquitous computing, pervasive computing, embedded intelligence, intelligent user interfaces, human factors, intelligent buildings, mobile communications, domestic robots, intelligent sensors, artistic and architectural design and ambient intelligence. Undeniably, multimodal spoken language dialogue interaction is a key factor in ensuring natural interaction and therefore of particular interest for advanced intelligent environments. It will therefore...

Nature has long used nucleic acid aptamers and enzymes for regulatory activities, such as the recently discovered riboswitches involved in gene expression. The existence of a large array of natural and artificial functional nucleic acids has generated tremendous enthusiasm and new opportunities for molecular scientists from diverse disciplines to devise new concepts and real applications that take advantage of those nucleic acids for sensing and other analytical applications. This book provides a timely and comprehensive overview of recent advances in the field, from leading experts in...

The aim of this book is to show that the probabilistic formalisms of classical statistical mechanics and quantum mechanics can be unified on the basis of a general contextual probabilistic model. By taking into account the dependence of (classical) probabilities on contexts (i.e. complexes of physical conditions), one can reproduce all distinct features of quantum probabilities such as the interference of probabilities and the violation of Bell's inequality. Moreover, by starting with a formula for the interference of probabilities (which generalizes the well known classical formula of...

Reliability theory is a major concern for engineers and managers engaged in making high quality products and designing highly reliable systems. "Advanced Reliability Models and Maintenance Policies" is a survey of new research topics in reliability theory and optimization techniques in reliability engineering. The book introduces partition and redundant problems within reliability models, and provides optimization techniques. The book also indicates how to perform maintenance in a finite time span and at failure detection, and to apply recovery techniques for computer systems. New themes...

Reactive Search integrates sub-symbolic machine learning techniques into search heuristics for solving complex optimization problems. By automatically adjusting the working parameters, a reactive search self-tunes and adapts, effectively learning by doing until a solution is found. Intelligent Optimization, a superset of Reactive Search, concerns online and off-line schemes based on the use of memory, adaptation, incremental development of models, experimental algorithms applied to optimization, intelligent tuning and design of heuristics.