Publication

Entretien avec Dimitri Démétriadès, Patrick Chiché et Dimitri Papadaniel

2023

Abstract

Cet entretien vidéo réunit Dimitri Démétriadès, Patrick Chiché et Dimitri Papadaniel autour des enjeux portés par leurs projets notamment dans le domaine de l’architecture solaire et de l’expérimentation constructive.

Présenté dans le cadre de l'exposition: "Sun Shines on Architecture", Archizoom EPFL, Lausanne (21.03.2025 - 21.06.2025)

Official source

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2023

Abstract

Présenté dans le cadre de l'exposition: "Sun Shines on Architecture", Archizoom EPFL, Lausanne (21.03.2025 - 21.06.2025)

Official source

Related concepts (3)

École Polytechnique Fédérale de Lausanne

The École polytechnique fédérale de Lausanne (EPFL; English: Swiss Federal Institute of Technology in Lausanne; Eidgenössische Technische Hochschule Lausanne) is a public research university in Lausanne, Switzerland. Established in 1853, EPFL has placed itself as a university specializing in engineering and natural sciences. EPFL is part of the ETH Domain, which is directly dependent on the Federal Department of Economic Affairs, Education and Research.

Lausanne

Lausanne (loʊˈzæn , USalsoloʊˈzɑːn , lɔzan; Losena lɔˈzəna) is the capital and largest city of the Swiss French-speaking canton of Vaud. It is a hilly city situated on the shores of Lake Geneva, about halfway between the Jura Mountains and the Alps, and facing the French town of Évian-les-Bains across the lake. Lausanne is located northeast of Geneva, the nearest major city. The municipality of Lausanne has a population of about 140,000, making it the fourth largest city in Switzerland after Basel, Geneva, and Zurich, with the entire agglomeration area having about 420,000 inhabitants (as of January 2019).

Feature (machine learning)

In machine learning and pattern recognition, a feature is an individual measurable property or characteristic of a phenomenon. Choosing informative, discriminating and independent features is a crucial element of effective algorithms in pattern recognition, classification and regression. Features are usually numeric, but structural features such as strings and graphs are used in syntactic pattern recognition. The concept of "feature" is related to that of explanatory variable used in statistical techniques such as linear regression.