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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Optimal Support Features for Meta-Learning,this area involved heterogeneous learning systems combined with a complexity-guided search for optimal models, performed within the framework of (dis)similarity based methods to discover “knowledge granules”. This approach, inspired by neurocognitive mechanisms of information processing in the brain

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phase diagram is not sufficient to describe the state of the system during its time-evolution, and its possible approach to the steady state. For this reason, we also discuss the nonequilibrium dynamics resulting from the interplay between losses and external driving in some relevant cases.

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Ricardo B. C. Prudêncio,Marcilio C. P. de Souto,Teresa B. Ludermir non-relativistic matter field, i.e., the Schr?dinger field, which offers a powerful tool for theinvestigation of many-body problems, and of atomic quantum optics and entanglement. Finally, two new chapters introduce the finite-temperature functional integration of bosonic and fermionic fields for t