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Record Nr. |
UNINA9910495844103321 |
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Autore |
Charvolin Florian |
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Titolo |
Un air familier ? : Sociohistoire des pollutions atmosphériques / / Florian Charvolin, Stéphane Frioux, Léa Kamoun, François Mélard, Isabelle Roussel |
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Pubbl/distr/stampa |
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Paris, : Presses des Mines, 2016 |
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ISBN |
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9782356714329 |
2356714324 |
9782356711113 |
2356711112 |
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Descrizione fisica |
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1 online resource (238 p.) |
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Altri autori (Persone) |
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FriouxStéphane |
KamounLéa |
MélardFrançois |
RousselIsabelle |
LepageCorinne |
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Soggetti |
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Environmental studies, Geography & Development |
atmosphère |
pollution |
France |
XXème siècle |
environnement |
air |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Sommario/riassunto |
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Pollutions au mercaptan, particules de moteur diesel dans l'air, odeurs de raffineries, rejets d'anhydrides sulfureux… nous avons tous périodiquement l'impression de vivre dans un monde irrespirable. Cet air, si familier qu'il passe aussi inaperçu que le fait de le respirer, est devenu avec le progrès scientifique et l'industrialisation une affaire d'expertise et de politiques publiques. L'ouvrage montre comment l'air |
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se manifeste dans la vie de nos concitoyens depuis le milieu du xixe siècle : affaire de perception d'abord, de revendication ensuite, et finalement, depuis les années 1950, d'appareillage technique. La population est acteur à plus d'un titre de la politique de l'air, publique comme privée : elle multiplie les plaintes, s'élève contre la pollution chronique, est la destinataire d'informations techniques comme l'indice atmo, mène des actions locales pour lutter contre les gènes, etc. C'est ce que montre cet ouvrage dans une enquête qui associe historien, sociologue, politiste et géographe. Et l'on pourra ainsi se demander si mesurer l'air est une façon d'exprimer sa foi dans la maîtrise « sur » les problèmes environnementaux par la modernisation technique, ou bien si c'est le début d'une exploration plus démocratique de l'homme « dans » son environnement, avec le retour en grâce de la participation des habitants, comme ce fut récemment le cas dans la cartographie des odeurs. |
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2. |
Record Nr. |
UNINA9910726273703321 |
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Titolo |
Modeling Decisions for Artificial Intelligence : 20th International Conference, MDAI 2023, Umeå, Sweden, June 19–22, 2023, Proceedings / / edited by Vicenç Torra, Yasuo Narukawa |
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Pubbl/distr/stampa |
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Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
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ISBN |
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9783031334986 |
9783031334979 |
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Edizione |
[1st ed. 2023.] |
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Descrizione fisica |
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1 online resource (274 pages) |
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Collana |
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Lecture Notes in Artificial Intelligence, , 2945-9141 ; ; 13890 |
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Disciplina |
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Soggetti |
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Artificial intelligence |
Artificial Intelligence |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Logic Aggregators and Their Implementations -- Decision making and uncertainty -- Multi-Target Decision Making under Conditions of Severe Uncertainty -- Constructive set function and extraction of a k- |
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dimensional element -- Coherent upper conditional previsions defined by fractal outer measures to represent the unconscious activity of human brain -- Discrete chain-based Choquet-like operators -- On a new generalization of decomposition integrals -- Bipolar OWA operators with continuous input function -- Machine Learning and data science -- Cost-constrained group feature selection using information theory -- Conformal Prediction for Accuracy Guarantees in Classification with Reject Option -- Adapting the Gini's index for solving Predictive Tasks -- Bayesian logistic model for positive and unlabeled data -- A goal-oriented specification language for reinforcement learning -- Improved Spectral Norm Regularization for NeuralNetworks -- Preprocessing Matters: Automated Pipeline Selection for Fair Classification -- Predicting Next Whereabouts using Deep Learning -- A Generalization of Fuzzy c-Means with Variables Controlling Cluster Size -- Data privacy -- Local Differential Privacy Protocol for Making Key{Value Data Robust against Poisoning Attacks -- Differential Privacy through Noise-Graph Addition. |
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Sommario/riassunto |
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This book constitutes the refereed proceedings of the 20th International Conference on Modeling Decisions for Artificial Intelligence, MDAI 2023, held in Umeå, Sweden, during June19–22,2023. The 17 papers presented in this volume were carefully reviewed and selected from 28 submissions. Additionally, 1 invited paper were included. The papers discuss different facets of decision processes in a broad sense and present research in data science, data privacy, aggregation functions, human decision making, graphs and social networks, and recommendation and search. The papers are organized in the following topical sections: Decision making and uncertainty; Machine Learning and data science; and Data privacy. |
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