Littérature scientifique sur le sujet « Imprecisione »
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Articles de revues sur le sujet "Imprecisione"
Hall, Robert A. « Arbitrarieta'e imprecisione nel linguaggio ». Linguistica 31, no 1 (1 décembre 1991) : 25–29. http://dx.doi.org/10.4312/linguistica.31.1.25-29.
Texte intégralC. Corbin, J., A. Othman, J. D. Allan, D. R. Worsnop, J. D. Haskins, B. Sierau, U. Lohmann et A. A. Mensah. « Peak-fitting and integration imprecision in the Aerodyne aerosol mass spectrometer : effects of mass accuracy on location-constrained fits ». Atmospheric Measurement Techniques 8, no 11 (3 novembre 2015) : 4615–36. http://dx.doi.org/10.5194/amt-8-4615-2015.
Texte intégralPetersen, P. H., C. G. Fraser, J. O. Westgard et M. L. Larsen. « Analytical Goal-Setting for Monitoring Patients When Two Analytical Methods are Used ». Clinical Chemistry 38, no 11 (1 novembre 1992) : 2256–60. http://dx.doi.org/10.1093/clinchem/38.11.2256.
Texte intégralRodríguez-Toubes Muñiz, Joaquín. « La imprecisión del lenguaje legislativo, expuesta en el artículo 18 LRJSP | The Imprecision Of Statutory Language, Exposed In Section 18 Of The Spanish Act On Legal Status Of The Public Sector (LRJSP) ». Cuadernos Electrónicos de Filosofía del Derecho, no 36 (27 décembre 2017) : 169. http://dx.doi.org/10.7203/cefd.36.10447.
Texte intégralHage-Sleiman, Mehdi, Ladislas Capdevila, Sophie Bailleul et Guillaume Lefevre. « High-sensitivity cardiac troponin-I analytical imprecisions evaluated by internal quality control or imprecision profile ». Clinical Chemistry and Laboratory Medicine (CCLM) 57, no 4 (26 mars 2019) : e49-e51. http://dx.doi.org/10.1515/cclm-2018-0529.
Texte intégralBookbinder, M. J., et K. J. Panosian. « Using the coefficient of correlation in method-comparison studies. » Clinical Chemistry 33, no 7 (1 juillet 1987) : 1170–76. http://dx.doi.org/10.1093/clinchem/33.7.1170.
Texte intégralFitzGerald, Garret A. « Imprecision ». Circulation 135, no 2 (10 janvier 2017) : 113–15. http://dx.doi.org/10.1161/circulationaha.116.026324.
Texte intégralTuuminen, Tamara, Esko Tavast, Riitta Väisänen, Jaakko-Juhani Himberg et Ilkka Seppälä. « Assessment of Imprecision in Gamma Interferon Release Assays for the Detection of Exposure to Mycobacterium tuberculosis ». Clinical and Vaccine Immunology 17, no 4 (24 février 2010) : 596–601. http://dx.doi.org/10.1128/cvi.00320-09.
Texte intégralIlluminati, Augusto. « Averroè, una traduzione ininterrotta ». Doctor Virtualis, no 17 (14 mai 2022) : 107–29. http://dx.doi.org/10.54103/2035-7362/17830.
Texte intégralManjunathaiah, M., et Denis A. Nicole. « Precise Analysis of Array Usage in Scientific Programs ». Scientific Programming 6, no 2 (1997) : 229–42. http://dx.doi.org/10.1155/1997/312872.
Texte intégralThèses sur le sujet "Imprecisione"
CAMPAGNER, ANDREA. « Robust Learning Methods for Imprecise Data and Cautious Inference ». Doctoral thesis, Università degli Studi di Milano-Bicocca, 2023. https://hdl.handle.net/10281/404829.
Texte intégralThe representation, quantification and proper management of uncertainty is one of the central problems in Artificial Intelligence, and particularly so in Machine Learning, in which uncertainty is intrinsically tied to the inductive nature of the learning problem. Among different forms of uncertainty, the modeling of imprecision, that is the problem of dealing with data or knowledge that are imperfect} and incomplete, has recently attracted interest in the research community, for its theoretical and application-oriented implications on the practice and use of Machine Learning-based tools and methods. This work focuses on the problem of dealing with imprecision in Machine Learning, from two different perspectives. On the one hand, when imprecision affects the input data to a Machine Learning pipeline, leading to the problem of learning from imprecise data. On the other hand, when imprecision is used a way to implement uncertainty quantification for Machine Learning methods, by allowing these latter to provide set-valued predictions, leading to so-called cautious inference methods. The aim of this work, then, will be to investigate theoretical as well as empirical issues related to the two above mentioned settings. Within the context of learning from imprecise data, focus will be given on the investigation of the learning from fuzzy labels setting, both from a learning-theoretical and algorithmic point of view. Main contributions in this sense include: a learning-theoretical characterization of the hardness of learning from fuzzy labels problem; the proposal of a novel, pseudo labels-based, ensemble learning algorithm along with its theoretical study and empirical analysis, by which it is shown to provide promising results in comparison with the state-of-the-art; the application of this latter algorithm in three relevant real-world medical problems, in which imprecision occurs, respectively, due to the presence of conflicting expert opinions, the use of vague technical vocabulary, and the presence of individual variability in biochemical parameters; as well as the proposal of feature selection algorithms that may help in reducing the computational complexity of this task or limit the curse of dimensionality. Within the context of cautious inference, focus will be given to the theoretical study of three popular cautious inference frameworks, as well as to the development of novel algorithms and approaches to further the application of cautious inference in relevant settings. Main contributions in this sense include the study of the theoretical properties of, and relationships among, decision-theoretic, selective prediction and conformal prediction methods; the proposal of novel cautious inference techniques drawing from the interaction between decision-theoretic and conformal predictions methods, and their evaluation in medical settings; as well as the study of ensemble of cautious inference models, both from an empirical point of view, as well as from a theoretical one, by which it is shown that such ensembles could be useful to improve robustness, generalization, as well as to facilitate application of cautious inference methods on multi-source and multi-modal data.
Schoenfield, Miriam. « Imprecision in normative domains ». Thesis, Massachusetts Institute of Technology, 2012. http://hdl.handle.net/1721.1/72922.
Texte intégralCataloged from PDF version of thesis.
Includes bibliographical references.
Being rational and being moral can be difficult. However, some theories of rationality and morality make living up to these ideals too difficult by imposing requirements which are excessively rigid. In this dissertation, I defend and explore the implications of relaxing some of these requirements. I first consider the implications of thinking that rational agents' doxastic attitudes can be represented by imprecise, rather than precise probabilities. In defending this position, I develop a distinction between an idealized, and less idealized notion of rationality. I then explore the moral implications of the thought that facts about value cannot be represented by a precise value function. Finally, I defend permissivism, the view that sometimes there is more than one doxastic attitude that it is rationally permissible to adopt given a particular body of evidence, and show that this view has some interesting implications for questions about higher order evidence.
by Miriam Schoenfield.
Ph.D.in Philosophy
Nguyen, Vu-Linh. « Imprecision in machine learning problems ». Thesis, Compiègne, 2018. http://www.theses.fr/2018COMP2433.
Texte intégralWe have focused on imprecision modeling in machine learning problems, where available data or knowledge suffers from important imperfections. In this work, imperfect data refers to situations where either some features or the labels are imperfectly known, that is can be specified by sets of possible values rather than precise ones. Learning from partial data are commonly encountered in various fields, such as bio-statistics, agronomy, or economy. These data can be generated by coarse or censored measurements, or can be obtained from expert opinions. On the other hand, imperfect knowledge refers to the situations where data are precisely specified, however, there are classes, that cannot be distinguished due to a lack of knowledge (also known as epistemic uncertainty) or due to a high uncertainty (also known as aleatoric uncertainty). Considering the problem of learning from partially specified data, we highlight the potential issues of dealing with multiple optimal classes and multiple optimalmodels in the inference and learning step, respectively. We have proposed active learning approaches to reduce the imprecision in these situations. Yet, the distinction epistemic/aleatoric uncertainty has been well-studied in the literature. To facilitate subsequent machine learning applications, we have developed practical procedures to estimate these degrees for popular classifiers. In particular, we have explored the use of this distinction in the contexts of active learning and cautious inferences
Naji, Zeyad Tarik. « Correcting for data imprecision in MRP2 systems ». Thesis, Cranfield University, 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.280967.
Texte intégralPortman, Martin. « Imprecision in real-time systems : theory and practice ». Thesis, University of York, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.282288.
Texte intégralEdwards, Peter J. « Analogue imprecision in MLPs implications and learning improvements ». Thesis, University of Edinburgh, 1994. http://hdl.handle.net/1842/13772.
Texte intégralHaywood, S. M. « Estimating and visualising imprecision in radiological emergency response assessments ». Thesis, Cranfield University, 2011. http://dspace.lib.cranfield.ac.uk/handle/1826/6156.
Texte intégralStraszecka, Ewa. « Measures of uncertainty and imprecision in medical diagnosis support ». Praca habilitacyjna, Wydawnictwo Politechniki Śląskiej, 2010. https://delibra.bg.polsl.pl/dlibra/docmetadata?showContent=true&id=997.
Texte intégralEguiguren, Praeli Francisco José. « El actual estado de emergencia : Justificación, alcances, imprecisiones y riesgos ». Foro Jurídico, 2017. http://repositorio.pucp.edu.pe/index/handle/123456789/119505.
Texte intégralCrossman, Richard John. « Limiting conditional distributions : imprecision and relation to the hazard rate ». Thesis, Durham University, 2009. http://etheses.dur.ac.uk/14/.
Texte intégralLivres sur le sujet "Imprecisione"
Gnocchi, Gene. Una lieve imprecisione. Milano : Garzanti Editore, 1991.
Trouver le texte intégralGnocchi, Gene. Una lieve imprecisione. Milano : Garzanti, 1991.
Trouver le texte intégralWygralak, Maciej. Intelligent Counting Under Information Imprecision. Berlin, Heidelberg : Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-34685-9.
Texte intégralF, Murray Alan, dir. Analogue imprecision in MLP training. Singapore : World Scientific, 1996.
Trouver le texte intégralBordogna, Gloria, et Giuseppe Psaila, dir. Flexible Databases Supporting Imprecision and Uncertainty. Berlin, Heidelberg : Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/3-540-33289-8.
Texte intégralSmets, Philippe, dir. Quantified Representation of Uncertainty and Imprecision. Dordrecht : Springer Netherlands, 1998. http://dx.doi.org/10.1007/978-94-017-1735-9.
Texte intégralSpatial analysis and planning under imprecision. Amsterdam : North Holland, 1988.
Trouver le texte intégralDubois, Didier, M. Asunción Lubiano, Henri Prade, María Ángeles Gil, Przemysław Grzegorzewski et Olgierd Hryniewicz, dir. Soft Methods for Handling Variability and Imprecision. Berlin, Heidelberg : Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-85027-4.
Texte intégralInternational Conference on Soft Methods in Probability and Statistics (4th 2008 Toulouse, France). Soft methods for handling variability and imprecision. Berlin : Springer Verlag, 2008.
Trouver le texte intégralAngelov, Plamen, et Sotir Sotirov, dir. Imprecision and Uncertainty in Information Representation and Processing. Cham : Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-26302-1.
Texte intégralChapitres de livres sur le sujet "Imprecisione"
Pinkal, Manfred. « Vagueness and Imprecision ». Dans Studies in Linguistics and Philosophy, 257–89. Dordrecht : Springer Netherlands, 1995. http://dx.doi.org/10.1007/978-94-015-8445-6_8.
Texte intégralSmets, Philippe. « Imprecision and Uncertainty ». Dans Data and Knowledge in a Changing World, 39–46. Berlin, Heidelberg : Springer Berlin Heidelberg, 1996. http://dx.doi.org/10.1007/978-3-642-80199-0_6.
Texte intégralGoodchild, Michael F. « Imprecision and Spatial Uncertainty ». Dans Encyclopedia of GIS, 480–83. Boston, MA : Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-35973-1_592.
Texte intégralGoodchild, Michael F. « Imprecision and Spatial Uncertainty ». Dans Encyclopedia of GIS, 1–5. Cham : Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-23519-6_592-2.
Texte intégralWalley, Peter. « The importance of imprecision ». Dans Statistical Reasoning with Imprecise Probabilities, 207–81. Boston, MA : Springer US, 1991. http://dx.doi.org/10.1007/978-1-4899-3472-7_5.
Texte intégralGoodchild, Michael F. « Imprecision and Spatial Uncertainty ». Dans Encyclopedia of GIS, 917–21. Cham : Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-17885-1_592.
Texte intégralEl Sayed, Mazen, et Daniel Pacholczyk. « Symbolic Management of Imprecision ». Dans Enterprise Information Systems V, 161–68. Dordrecht : Springer Netherlands, 2004. http://dx.doi.org/10.1007/1-4020-2673-0_19.
Texte intégralAugustin, Thomas. « Statistics with Imprecise Probabilities—A Short Survey ». Dans Uncertainty in Engineering, 67–79. Cham : Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-83640-5_5.
Texte intégralRagep, F. Jamil. « Islamic Reactions to Ptolemy’s Imprecisions ». Dans Archimedes, 121–34. Dordrecht : Springer Netherlands, 2010. http://dx.doi.org/10.1007/978-90-481-2788-7_5.
Texte intégralSmets, Philippe. « Imperfect Information : Imprecision and Uncertainty ». Dans Uncertainty Management in Information Systems, 225–54. Boston, MA : Springer US, 1997. http://dx.doi.org/10.1007/978-1-4615-6245-0_8.
Texte intégralActes de conférences sur le sujet "Imprecisione"
Gutierrez, Ronaldo, Yong Zeng, Xuan Sun, Suo Tan, Xiaoguang Deng et Fayi Zhou. « ROM Based Problem Formulation in Conceptual Design : Algorithm and Case Study ». Dans ASME 2014 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/detc2014-35500.
Texte intégralClark, Leigh Michael Harry, Khaled Bachour, Abdulmalik Ofemile, Svenja Adolphs et Tom Rodden. « Potential of imprecision ». Dans HAI '14 : The Second International Conference on Human-Agent Interaction. New York, NY, USA : ACM, 2014. http://dx.doi.org/10.1145/2658861.2658895.
Texte intégralde la Torre, Guillermo, Romain Robbes et Alexandre Bergel. « Imprecisions diagnostic in source code deltas ». Dans ICSE '18 : 40th International Conference on Software Engineering. New York, NY, USA : ACM, 2018. http://dx.doi.org/10.1145/3196398.3196404.
Texte intégralRountev, Atanas, Scott Kagan et Michael Gibas. « Evaluating the imprecision of static analysis ». Dans the ACM-SIGPLAN-SIGSOFT workshop. New York, New York, USA : ACM Press, 2004. http://dx.doi.org/10.1145/996821.996829.
Texte intégralXiao, Yufei, Jianping Hua et Edward Dougherty. « Feature selection increases cross-validation imprecision ». Dans 2006 IEEE International Workshop on Genomic Signal Processing and Statistics. IEEE, 2006. http://dx.doi.org/10.1109/gensips.2006.353134.
Texte intégralLaw, William S., et Erik K. Antonsson. « Multi-Dimensional Mapping of Design Imprecision ». Dans ASME 1996 Design Engineering Technical Conferences and Computers in Engineering Conference. American Society of Mechanical Engineers, 1996. http://dx.doi.org/10.1115/96-detc/dtm-1524.
Texte intégralLaw, William S., et Erik K. Antonsson. « Optimization Methods for Calculating Design Imprecision ». Dans ASME 1995 Design Engineering Technical Conferences collocated with the ASME 1995 15th International Computers in Engineering Conference and the ASME 1995 9th Annual Engineering Database Symposium. American Society of Mechanical Engineers, 1995. http://dx.doi.org/10.1115/detc1995-0062.
Texte intégralLaw, William S., et Erik K. Antonsson. « Including Imprecision in Engineering Design Calculations ». Dans ASME 1994 Design Technical Conferences collocated with the ASME 1994 International Computers in Engineering Conference and Exhibition and the ASME 1994 8th Annual Database Symposium. American Society of Mechanical Engineers, 1994. http://dx.doi.org/10.1115/detc1994-0012.
Texte intégralBurgin, M., N. Debnath et J. Debnath. « Fuzzyness And Imprecision In Software Engineering ». Dans 2006 World Automation Congress. IEEE, 2006. http://dx.doi.org/10.1109/wac.2006.376021.
Texte intégralPauly, Alejandro, et Markus Schneider. « Spatial vagueness and imprecision in databases ». Dans the 2008 ACM symposium. New York, New York, USA : ACM Press, 2008. http://dx.doi.org/10.1145/1363686.1363888.
Texte intégralRapports d'organisations sur le sujet "Imprecisione"
Khaw, Mel Win, Ziang Li et Michael Woodford. Cognitive Imprecision and Small-Stakes Risk Aversion. Cambridge, MA : National Bureau of Economic Research, août 2018. http://dx.doi.org/10.3386/w24978.
Texte intégralWoodford, Michael. Modeling Imprecision in Perception, Valuation and Choice. Cambridge, MA : National Bureau of Economic Research, septembre 2019. http://dx.doi.org/10.3386/w26258.
Texte intégralKhaw, Mel Win, Ziang Li et Michael Woodford. Cognitive Imprecision and Stake-Dependent Risk Attitudes. Cambridge, MA : National Bureau of Economic Research, septembre 2022. http://dx.doi.org/10.3386/w30417.
Texte intégralMcWilliams, James C. Development and Utilization of Regional Oceanic Modeling System (ROMS) & ; Delicacy, Imprecision, and Uncertainty of Oceanic Simulations : An Investigation with ROMS. Fort Belvoir, VA : Defense Technical Information Center, septembre 2010. http://dx.doi.org/10.21236/ada542771.
Texte intégralMcWilliams, James C. Development and Utilization of Regional Oceanic Modeling System (ROMS). Delicacy, Imprecision, and Uncertainty of Oceanic Simulations : An Investigation with the Regional Oceanic Modeling System (ROMS). Mixing in the Ocean Surface Layer Using the Regional Oceanic Modeling System (ROMS). Fort Belvoir, VA : Defense Technical Information Center, septembre 2011. http://dx.doi.org/10.21236/ada556948.
Texte intégralChou, Roger, Rongwei Fu, Tracy Dana, Miranda Pappas, Erica Hart et Kimberly M. Mauer. Interventional Treatments for Acute and Chronic Pain : Systematic Review. Agency for Healthcare Research and Quality (AHRQ), septembre 2021. http://dx.doi.org/10.23970/ahrqepccer247.
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