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Albert Benveniste
Researcher at French Institute for Research in Computer Science and Automation
Publications - 201
Citations - 15827
Albert Benveniste is an academic researcher from French Institute for Research in Computer Science and Automation. The author has contributed to research in topics: Asynchronous communication & System identification. The author has an hindex of 52, co-authored 196 publications receiving 15305 citations. Previous affiliations of Albert Benveniste include Institut de Recherche en Informatique et Systèmes Aléatoires & Centre national de la recherche scientifique.
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BookDOI
Adaptive Algorithms and Stochastic Approximations
TL;DR: The juxtaposition of these two expressions in the title reflects the ambition of the authors to produce a reference work, both for engineers who use adaptive algorithms and for probabilists or statisticians who would like to study stochastic approximations in terms of problems arising from real applications.
Journal ArticleDOI
Wavelet networks
Qinghua Zhang,Albert Benveniste +1 more
TL;DR: A wavelet network concept, which is based on wavelet transform theory, is proposed as an alternative to feedforward neural networks for approximating arbitrary nonlinear functions.
Journal ArticleDOI
Nonlinear black-box modeling in system identification: a unified overview
Jonas Sjöberg,Qinghua Zhang,Lennart Ljung,Albert Benveniste,Bernard Delyon,Pierre-Yves Glorennec,Håkan Hjalmarsson,Anatoli Juditsky +7 more
TL;DR: What are the common features in the different approaches, the choices that have to be made and what considerations are relevant for a successful system-identification application of these techniques are described, from a user's perspective.
Journal ArticleDOI
The synchronous languages 12 years later
Albert Benveniste,Paul Caspi,Stephen A. Edwards,Nicolas Halbwachs,P. Le Guernic,R. de Simone +5 more
TL;DR: The improvements, difficulties, and successes that have occured with the synchronous languages since then are discussed.
Journal ArticleDOI
Nonlinear black-box models in system identification: mathematical foundations
Anatoli Juditsky,Håkan Hjalmarsson,Albert Benveniste,Bernard Delyon,Lennart Ljung,Jonas Sjöberg,Qinghua Zhang +6 more
TL;DR: Different approximation methods are considered, and the acquired approximation experience is applied to estimation problems, and wavelet and ‘neuron’ approximations are introduced, and shown to be spatially adaptive.