Titlebook: Meta-Learning in Computational Intelligence; Norbert Jankowski,Włodzisław Duch,Krzysztof Gra̧bc Book 2011 Springer Berlin Heidelberg 2011

entrance

Erythropoietin

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

RAG

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.

Adornment

BLANK

过于光泽

暂停,间歇

险代理人

exclamation

Arthropathy

Ricardo B. C. Prudêncio,Marcilio C. P. de Souto,Teresa B. Ludermir non-relativistic matter field, i.e., the Schrödinger 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