Titlebook: Meta-Learning in Computational Intelligence; Norbert Jankowski,W?odzis?aw Duch,Krzysztof Gra?bc Book 2011 Springer Berlin Heidelberg 2011

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W?odzis?aw Duch,Tomasz Maszczyk,Marek Grochowskige. In this context, a multidisciplinary team designed the CadeViMa Study, a cross-sectional study to assess the QoL of community-dwelling older people and to identify its associated factors. It incorporated a representative sample of 1106 people aged 60?years or older in Spain. QoL was assessed by

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dilation.Includes simulations of the discovered effects.PedaThis thesis introduces a new theoretical tool to explore the notion of time and temporal order in quantum mechanics: the relativistic quantum "clock" framework. It proposes novel thought experiments showing that proper time can display quan

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Universal Meta-Learning Architecture and Algorithms,obody knows well all these algorithms and nobody can know all the arcana of their behavior in all possible applications. How to find the best combination of transformation and final machine which solves given problem?.The solution is to use configurable and efficient meta-learning to solve data mini

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Meta-Learning of Instance Selection for Data Summarization,ire dataset, without significant loss of information. When a machine learning method is applied to the reduced dataset, the accuracy of the model should not be significantly worse than if the same method were applied to the entire dataset. The reducibility of any dataset, and hence the success of in

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Meta-Learning Architectures: Collecting, Organizing and Exploiting Meta-Knowledge,]. Indeed, the whole point of understanding how to learn in any given situation is to go out in the real world and learn as much as possible, from any source of data we encounter! However, almost any type of raw data will initially be very hard to learn from, and about 80% of the effort in discoveri

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Computational Intelligence for Meta-Learning: A Promising Avenue of Research,tation of a “superior” learning algorithm. However, there exist some general assumptions that, even when overlooked, preside the activity of researchers and practitioners. A thorough reflection over such essential premises brings forward the meta-learning approach as the most suitable for escaping t

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A Meta-Model Perspective and Attribute Grammar Approach to Facilitating the Development of Novel Ne has been made in developing concise artificial neural networks that implement basic models of neural activation, connectivity and plasticity, limited success has been attained in creating neural networks that integrate multiple diverse models to produce highly complex neural systems. From a problem