Vangelis Karkaletsis – författare

This book describes a unique approach to bring robotic technology into elders’ daily lives. Low cost components and low cost robotic assistants are effectively combined to offer high quality services to elders and people in need. The book presents in a comprehensive way how technology can be used for developing a new healthcare paradigm where high quality services are offered at home, thus reducing the ever-increasing hospitalization cost of the elders and the people with chronic diseases.

This book describes a unique approach to bring robotic technology into elders’ daily lives. Low cost components and low cost robotic assistants are effectively combined to offer high quality services to elders and people in need. The book presents in a comprehensive way how technology can be used for developing a new healthcare paradigm where high quality services are offered at home, thus reducing the ever-increasing hospitalization cost of the elders and the people with chronic diseases.

In recent years machine learning has made its way from artificial intelligence into areas of administration, commerce, and industry. Data mining is perhaps the most widely known demonstration of this migration, complemented by less publicized applications of machine learning like adaptive systems in industry, financial prediction, medical diagnosis and the construction of user profiles for Web browsers.This book presents the capabilities of machine learning methods and ideas on how these methods could be used to solve real-world problems. The first ten chapters assess the current state of the art of machine learning, from symbolic concept learning and conceptual clustering to case-based reasoning, neural networks, and genetic algorithms. The second part introduces the reader to innovative applications of ML techniques in fields such as data mining, knowledge discovery, human language technology, user modeling, data analysis, discovery science, agent technology, finance, etc.

In recent years machine learning has made its way from artificial intelligence into areas of administration, commerce, and industry. Data mining is perhaps the most widely known demonstration of this migration, complemented by less publicized applications of machine learning like adaptive systems in industry, financial prediction, medical diagnosis and the construction of user profiles for Web browsers.This book presents the capabilities of machine learning methods and ideas on how these methods could be used to solve real-world problems. The first ten chapters assess the current state of the art of machine learning, from symbolic concept learning and conceptual clustering to case-based reasoning, neural networks, and genetic algorithms. The second part introduces the reader to innovative applications of ML techniques in fields such as data mining, knowledge discovery, human language technology, user modeling, data analysis, discovery science, agent technology, finance, etc.

Arti?cial intelligence (AI) is a dynamic ?eld that is constantly expanding into new application areas, discovering new research challenges, and facilitating the development of innovative products. Today's AI tools might not pass the Turing test, but they are invaluable aids in organizing and sorting the ever-increasing volume,complexity,andheterogeneityofknowledgeavailabletousinourrapidly changing technological, economic, cultural, and social environment. This volumeaimsatbringing to the readerallthe latest developmentsin this exciting and challenging ?eld, and contains papers selected for presentation at the 6th Hellenic Conference on Arti?cial Intelligence (SETN 2010), the o?cial meeting of the Hellenic Society for Arti?cial Intelligence (EETN). SETN 2010 was organized by the Hellenic Society of Arti?cial Intelligence and the Institute of Informatics and Telecommunications, NCSR 'Demokritos' and took place in Athens during May 4-7.Previousconferences were held at the University of Piraeus (1996), at the Aristotle University of Thessaloniki (2002), attheUniversityoftheAegean(Samos,2004,andSyros,2008),andjointlyatthe Foundation for Research and Technology-Hellas (FORTH) and the University of Crete (2006).SETN conferences play an important role in disseminating innovative and high-qualityscienti?c results by AI researchers,attractingnot only EETNm- bers but also scientists advancing and applying AI in many and diverse domains and from various Greek and international institutes. However, the most imp- tant aspect of SETN conferences is that they provide the context in which AI researchers meet and discuss their work, as well as an excellect opportunity for students to attend high-quality tutorials and get closer to AI results.