Titlebook: Intelligent Autonomous Systems; Foundations and Appl Dilip Kumar Pratihar,Lakhmi C. Jain Book 2010 Springer-Verlag Berlin Heidelberg 2010 A

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Towards Intelligent Autonomous Systems,tem is given in this introductory chapter. A summary of each chapter of this book is also included. An introduction to both the theoretical foundations and some applications of various intelligent autonomous systems are included.

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General Aspects of Intelligent Autonomous Systems,ell as with representative examples (like Stanley, the vehicle robot). It outlines promising areas of research that will not only lead to more intelligent systems in the near future, but also sets up five challenges, which in the long run would result in truly intelligent assistants and collaborator

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Ensemble Learning for Multi-source Information Fusion,odels, like mathematical equations or rules, in the modeling process. The integration of knowledge-based submodels is of particular interest, since they are able to provide with information not contained in the data. On the other hand, data-driven models can complement the knowledge-based models wit

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Towards Developing Intelligent Autonomous Systems in Psychiatry: Its Present State and Future Possiards developing Intelligent Decision Support Systems (IDSS) and it is an important area under the HI. KE techniques extract hidden knowledge from a set of raw data and the knowledge thus extracted, constitutes the knowledge base of an IDSS. Applications of KE techniques in medicine are gaining popul

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