Une pure merveille !
Un roman d'une grande beauté, drôle, fin, extrêmement lumineux sur des sujets difficiles : la perte de
l'être aimé, la dureté de la vie et la tristesse qu'on barricade parfois... Elise franco-japonaise,
orpheline de sa maman veut poser LA question à son père et elle en trouvera le courage au fil des pages,
grâce au retour de sa grand-mère du japon, de sa rencontre avec son extravagante amie Stella..
Ensemble il ne diront plus Sayonara mais Mata Ne !
There is now a growing awareness of the interface between statistical research and recent advances in neural computing and artificial neural networks....
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Résumé
There is now a growing awareness of the interface between statistical research and recent advances in neural computing and artificial neural networks. This book covers various aspects of current work in the area, drawing together contributions from authors who are leading researchers in the two fields. Their contributions show a strong grasp of the common ground and of the advantages to be gained by taking a wider perspective.
Topics covered include: nonlinear approaches to discriminant analysis; information-theoretic neural networks for unsupervised learning; Radial Basis Function networks; techniques for optimizing predictions; approaches to the analysis of latent structure, including probabilistic principal component analysis, density networks and the use of multiple latent variables; and a substantial chapter outlining techniques and their application in industrial case-studies.
This research interface is currently extremely active and this volume gives an authoritative overview of the area, its current status and directions for future research.
Sommaire
Flexible Discriminant and Mixture Models
Neural Networks for Unsupervised Learning Based on Information Theory
Radial Basis Function Networks and Statistics
Robust Prediction in Many-parameter Models
Density Networks
Latent Variable Models and Data Visualisation
Analysis of Latent Structure Models with Multidimensional Latent Variables
Artificial Neural Networks and Multivariate Statistics.