Titlebook: In Memoriam Marc Yor - Séminaire de Probabilités XLVII; Catherine Donati-Martin,Antoine Lejay,Alain Rouaul Book 2015 Springer Internationa

Entropion

Jan Ob?ój,Peter Spoida,Nizar Touzi of mathematical models and the development of rigorous methods for calculating the electrodynamic characteristics of combined vibrator-slot structures. The solutions of problems for determining the characteristics of impedance vibrator and slot radiators with arbitrary geometric and electrophysical

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冷峻

Joseph Najnudeldsorbent used is the main parameter controlling the effectiveness of the process. Emerging new separations and the improvement of existing ones constitute the driving force for the development of new adsorbents with improved adsorbing properties. With this objective, recent research directions inclu

分開(kāi)如此和諧

Pat Fitzsimmons,Yves Le Jan,Jay Rosendsorbent used is the main parameter controlling the effectiveness of the process. Emerging new separations and the improvement of existing ones constitute the driving force for the development of new adsorbents with improved adsorbing properties. With this objective, recent research directions inclu

爵士樂(lè)

Moritz Duembgen,L. C. G. Rogers three models of visual cue combination: a weak fusion model, a modified weak fusion model, and a strong fusion model. Their relative strengths and weaknesses are evaluated on the basis of their performances on the tasks of judging the depth and shape of an ellipse. The models differ in the amount o

maudtin

Ehsan Azmoodeh,Giovanni Peccati,Guillaume Polyrm what is often referred to as a neural network ensemble, may yield better model accuracy without requiring extensive efforts in training the individual networks or optimising their architecture [21, 48]. However, because the corresponding outputs of the individual networks approximate the same phy

–DOX

Pierre-Lo?c Méliot,Ashkan Nikeghbaliive modeling framework that uses fuzzy granular objects to enclose uncertainty in the data. The FBeM algorithm is data flow driven and supports learning on an instance-per-instance recursive basis by developing and refining fuzzy models on-demand. Structurally, FBeM models combineMamdani and functio

Feature

Chronic

Nizar Demni,Alain Rouault,Marguerite Zanic developments. It is shown that the granularity of the fuzzy rules is directly associated with a reduction (compression) process in which the number of rules becomes reduced in order to enhance the readability (transparency) of the resulting rule base. The retained rules are made more abstract (gen

出汗

Book 2015testament to the value and diversity of his work and of his research focus, which covered broad areas of probability theory. The volume also provides personal recollections about him, and an article on his essential role concerning the Doeblin documents..With contributions by P. Salminen, J-Y. Yen &