Bibliographies thématiques / NON-EXTENSIVE ENTROPY

Littérature scientifique sur le sujet « NON-EXTENSIVE ENTROPY »

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Publié le 11 septembre 2023

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Articles de revues sur le sujet "NON-EXTENSIVE ENTROPY"

Tatsuaki, Wada, et Saito Takeshi. « When non-extensive entropy becomes extensive ». Physica A : Statistical Mechanics and its Applications 301, n^o 1-4 (décembre 2001) : 284–90. http://dx.doi.org/10.1016/s0378-4371(01)00400-9.

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Parvan, A. S., et T. S. Biró. « Extensive Rényi statistics from non-extensive entropy ». Physics Letters A 340, n^o 5-6 (juin 2005) : 375–87. http://dx.doi.org/10.1016/j.physleta.2005.04.036.

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Kang, Jin-Wen, Ke-Ming Shen et Ben-Wei Zhang. « A Note on the Connection between Non-Additive Entropy and h-Derivative ». Entropy 25, n^o 6 (9 juin 2023) : 918. http://dx.doi.org/10.3390/e25060918.

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In order to study as a whole a wide part of entropy measures, we introduce a two-parameter non-extensive entropic form with respect to the h-derivative, which generalizes the conventional Newton–Leibniz calculus. This new entropy, Sh,h′, is proved to describe the non-extensive systems and recover several types of well-known non-extensive entropic expressions, such as the Tsallis entropy, the Abe entropy, the Shafee entropy, the Kaniadakis entropy and even the classical Boltzmann–Gibbs one. As a generalized entropy, its corresponding properties are also analyzed.

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Lieb, Elliott H., et Jakob Yngvason. « Entropy meters and the entropy of non-extensive systems ». Proceedings of the Royal Society A : Mathematical, Physical and Engineering Sciences 470, n^o 2167 (8 juillet 2014) : 20140192. http://dx.doi.org/10.1098/rspa.2014.0192.

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In our derivation of the second law of thermodynamics from the relation of adiabatic accessibility of equilibrium states, we stressed the importance of being able to scale a system's size without changing its intrinsic properties. This leaves open the question of defining the entropy of macroscopic, but unscalable systems, such as gravitating bodies or systems where surface effects are important. We show here how the problem can be overcome, in principle, with the aid of an ‘entropy meter’. An entropy meter can also be used to determine entropy functions for non-equilibrium states and mesoscopic systems.

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Sattin, F. « Non-Extensive Entropy from Incomplete Knowledge of Shannon Entropy ? » Physica Scripta 71, n^o 5 (1 janvier 2005) : 443–46. http://dx.doi.org/10.1238/physica.regular.071a00443.

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Bergamelli, Michele, Jan Novotný et Giovanni Urga. « Maximum Non-Extensive Entropy Block Bootstrap for Non-stationary Processes ». Articles 91, n^o 1-2 (20 mai 2016) : 115–39. http://dx.doi.org/10.7202/1036916ar.

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In this paper, we propose a novel entropy-based resampling scheme valid for non-stationary data. In particular, we identify the reason for the failure of the original entropy-based algorithm of Vinod and López-de Lacalle (2009) to be the perfect rank correlation between the actual and bootstrapped time series. We propose the Maximum Entropy Block Bootstrap which preserves the rank correlation locally. Further, we also introduce the Maximum non-extensive Entropy Block Bootstrap to allow for fat tail behaviour in time series. Finally, we show the optimal finite sample properties of the proposed methods via a Monte Carlo analysis where we bootstrap the distribution of the Dickey-Fuller test.

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Leubner, M. P. « Consequences of entropy bifurcation in non-Maxwellian astrophysical environments ». Nonlinear Processes in Geophysics 15, n^o 4 (4 juillet 2008) : 531–40. http://dx.doi.org/10.5194/npg-15-531-2008.

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Abstract. Non-extensive systems, accounting for long-range interactions and correlations, are fundamentally related to non-Maxwellian distributions where a duality of equilibria appears in two families, the non-extensive thermodynamic equilibria and the kinetic equilibria. Both states emerge out of particular entropy generalization leading to a class of probability distributions, where bifurcation into two stationary states is naturally introduced by finite positive or negative values of the involved entropic index kappa. The limiting Boltzmann-Gibbs-Shannon state (BGS), neglecting any kind of interactions within the system, is subject to infinite entropic index and thus characterized by self-duality. Fundamental consequences of non-extensive entropy bifurcation, manifest in different astrophysical environments, as particular core-halo patterns of solar wind velocity distributions, the probability distributions of the differences of the fluctuations in plasma turbulence as well as the structure of density distributions in stellar gravitational equilibrium are discussed. In all cases a lower entropy core is accompanied by a higher entropy halo state as compared to the standard BGS solution. Data analysis and comparison with high resolution observations significantly support the theoretical requirement of non-extensive entropy generalization when dealing with systems subject to long-range interactions and correlations.

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Algin, Abdullah. « Non-extensive entropy of bosonic Fibonacci oscillators ». Journal of Statistical Mechanics : Theory and Experiment 2009, n^o 04 (8 avril 2009) : P04007. http://dx.doi.org/10.1088/1742-5468/2009/04/p04007.

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Oikonomou, Th. « Properties of the “non-extensive Gaussian” entropy ». Physica A : Statistical Mechanics and its Applications 381 (juillet 2007) : 155–63. http://dx.doi.org/10.1016/j.physa.2007.03.010.

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Jizba, Petr, et Jan Korbel. « On q-non-extensive statistics with non-Tsallisian entropy ». Physica A : Statistical Mechanics and its Applications 444 (février 2016) : 808–27. http://dx.doi.org/10.1016/j.physa.2015.10.084.

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Plus de sources

Thèses sur le sujet "NON-EXTENSIVE ENTROPY"

Vigneaux, Juan Pablo. « Topology of statistical systems : a cohomological approach to information theory ». Thesis, Sorbonne Paris Cité, 2019. http://www.theses.fr/2019USPCC070.

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Cette thèse étend dans plusieurs directions l’étude cohomologique de la théorie de l’information initiée par Baudot et Bennequin. On introduit une notion d'espace statistique basée sur les topos, puis on étudie plusieurs invariants cohomologiques. Les fonctions d’information et quelques objets associés apparaissent comme des classes de cohomologie distinguées ; les équations de cocycle correspondantes codent les propriétés récursives de ces fonctions. L'information a donc une signification topologique et la topologie sert de cadre unificateur.La première partie traite des fondements géométriques de la théorie. Les structures d’information sont présentées sous forme de catégories qui codent les relations de raffinement entre différents observables statistiques. On étudie les produits et coproduits des structures d’information, ainsi que leur représentation par des fonctions mesurables ou des opérateurs hermitiens. Chaque structure d’information donne lieu à un site annelé ; la cohomologie de l'information est introduite avec les outils homologiques développés par Artin, Grothendieck, Verdier et leurs collaborateurs.La deuxième partie étudie la cohomologie des variables aléatoires discrètes. Les fonctions d'information — l'entropie de Shannon, l'alpha-entropie de Tsallis, et la divergence de Kullback-Leibler — apparaissent sous la forme de 1-cocycles pour certains modules de coefficients probabilistes (fonctions de lois de probabilité). Dans le cas combinatoire (fonctions des histogrammes), le seul 0-cocycle est la fonction exponentielle, et les 1-cocycles sont des coefficients multinomiaux généralisés (Fontené-Ward). Il existe une relation asymptotique entre les cocycles combinatoires et probabilistes.La troisième partie étudie en détail les coefficients q-multinomiaux, en montrant que leur taux de croissance est lié à la 2-entropie de Tsallis (entropie quadratique). Lorsque q est une puissance première, ces coefficients q-multinomiaux comptent les drapeaux d'espaces vectoriels finis de longueur et de dimensions prescrites. On obtient une explication combinatoire de la non-additivité de l'entropie quadratique et une justification fréquentiste du principe de maximisation d'entropie quadratique. On introduit un processus stochastique à temps discret associé à la distribution de probabilité q-binomial qui génère des espaces vectoriels finis (drapeaux de longueur 2). La concentration de la mesure sur certains sous-espaces typiques permet d'étendre la théorie de Shannon à ce cadre.La quatrième partie traite de la généralisation de la cohomologie de l'information aux variables aléatoires continues. On étudie les propriétés de fonctorialité du conditionnement (vu comme désintégration) et sa compatibilité avec la marginalisation. Les calculs cohomologiques sont limités aux variables réelles gaussiennes. Lorsque les coordonnées sont fixées, les 1-cocycles sont l’entropie différentielle ainsi que les moments généralisés. Les catégories grassmanniennes permettent de traiter les calculs canoniquement et retrouver comme seuls classes de cohomologie de degré 1 l'entropie et la dimension. Ceci constitue une nouvelle caractérisation algébrique de l'entropie différentielle
This thesis extends in several directions the cohomological study of information theory pioneered by Baudot and Bennequin. We introduce a topos-theoretical notion of statistical space and then study several cohomological invariants. Information functions and related objects appear as distinguished cohomology classes; the corresponding cocycle equations encode recursive properties of these functions. Information has thus topological meaning and topology serves as a unifying framework.Part I discusses the geometrical foundations of the theory. Information structures are introduced as categories that encode the relations of refinement between different statistical observables. We study products and coproducts of information structures, as well as their representation by measurable functions or hermitian operators. Every information structure gives rise to a ringed site; we discuss in detail the definition of information cohomology using the homological tools developed by Artin, Grothendieck, Verdier and their collaborators.Part II studies the cohomology of discrete random variables. Information functions—Shannon entropy, Tsallis alpha-entropy, Kullback-Leibler divergence—appear as 1-cocycles for appropriate modules of probabilistic coefficients (functions of probability laws). In the combinatorial case (functions of histograms), the only 0-cocycle is the exponential function, and the 1-cocycles are generalized multinomial coefficients (Fontené-Ward). There is an asymptotic relation between the combinatorial and probabilistic cocycles.Part III studies in detail the q-multinomial coefficients, showing that their growth rate is connected to Tsallis 2-entropy (quadratic entropy). When q is a prime power, these q-multinomial coefficients count flags of finite vector spaces with prescribed length and dimensions. We obtain a combinatorial explanation for the nonadditivity of the quadratic entropy and a frequentist justification for the maximum entropy principle with Tsallis statistics. We introduce a discrete-time stochastic process associated to the q-binomial probability distribution that generates finite vector spaces (flags of length 2). The concentration of measure on certain typical subspaces allows us to extend Shannon's theory to this setting.Part IV discusses the generalization of information cohomology to continuous random variables. We study the functoriality properties of conditioning (seen as disintegration) and its compatibility with marginalization. The cohomological computations are restricted to the real valued, gaussian case. When coordinates are fixed, the 1-cocycles are the differential entropy as well as generalized moments. When computations are done in a coordinate-free manner, with the so-called grassmannian categories, we recover as the only degree-one cohomology classes the entropy and the dimension. This constitutes a novel algebraic characterization of differential entropy

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DWIVEDI, MAYANK. « DYNAMIC GROWTH OF HIDDEN-LAYER NEURONS USING THE NON-EXTENSIVE ENTROPY ». Thesis, 2014. http://dspace.dtu.ac.in:8080/jspui/handle/repository/15617.

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The dynamic growth of hidden units and the pruning strategy has been sufficiently investigated in case of Radial Basis Function (RBF) neural network but relatively less in the case of feedforward multilayer perceptron (MLP) due to similarity in the hidden units in the MLP. So in this study I present a dynamic neural network that dynamically grows the number of hidden layer neurons based on an increase in the entropy of the weights during training. Before computing the entropy value weights are normalized to probability values. The entropy which is used being referred is the non-extensive entropy proposed recently by Susan and Hanmandlu for the representation of structured data. Along with the description of dynamic growth of hidden layer neurons using the Susan and Hanmandlu non-extensive entropy, the results are also compared with the Shannon, Pal and Pal, the Tsallis entropies and various static neural network configurations, in terms of execution time of the set of training samples, growth of hidden layer neurons and the testing accuracy. The experiment is performed on basically three standard machine learning datasets and on synthetic dataset. Incrementally growing the hidden layer as per requirement leads to better tuning of network weights and high classification performance as proved by the empirical results.

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SHARMA, MONIKA. « AUTOMATED TEXTURE DEFECT DETECTION USING THE NON-EXTENSIVE ENTROPY WITH GAUSSIAN GAIN ». Thesis, 2016. http://dspace.dtu.ac.in:8080/jspui/handle/repository/14881.

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Inefficient processes in industries can cost a lot of time, money and customer satisfaction. Quality assurance is a very important aspect for industries. As a result, to improve their processes and become more efficient at the global level, they have started to automate their certain tasks for which humans were generally considered to perform them. And one such popular task is Industrial Inspection . As a result, intelligent visual inspection systems are developed to ensure high quality of products in production lines. Advancement in image processing and computer vision techniques has led to the development of Automated Visual Inspection Systems. These systems are required in industries to inspect the manufactured products, so as to identify any discrepancies in them. Thus, they play an important role in industries by ensuring that only good quality products enter into the market because selling defective products in market can lead to large losses for goods manufacturing industry. One such industry is Textile Industry where these systems are of great importance. They identify defects occurring in textile cloth. Several algorithms have been developed based on different approaches so as to identify defects in texture patterns. Presence of complex defects is a major hurdle for many such algorithms and that is why new ideas keep on emerging to develop more efficient algorithms which can identify such type of defects in texture patterns. On the same lines, this major project report presents a new algorithm based on a new approach to identify complex defects in texture in a more efficient and accurate manner.

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Livres sur le sujet "NON-EXTENSIVE ENTROPY"

Pollacchi, Elena. Wang Bing's Filmmaking of the China Dream. NL Amsterdam : Amsterdam University Press, 2021. http://dx.doi.org/10.5117/9789463721837.

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This volume offers an organic discussion of Wang Bing's filmmaking across China’s marginal spaces and against the backdrop of the state-sanctioned 'China Dream'. Wang Bing's cinema gives voice to the subaltern. Focusing on contemporary China, his work testifies to a set of issues dealing with inequality, labour, and migration. His internationally awarded documentaries are considered masterpieces with unique aesthetics that bear reference to global film masters. Therefore, this investigation goes beyond the divides between Western and non-Western film traditions and between fiction and documentary cinema. Each chapter takes a different articulation of space (spaces of labour, history, and memory) as its entry point, bringing together film and documentary studies, Chinese studies, and globalization studies. This volume benefits from the author's extensive conversations with Wang Bing and insider observations of film production and the film festival circuit.

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Bwanakare, Second. Non-Extensive Entropy Econometrics for Low Frequency Series : National Accounts-Based Inverse Problems. de Gruyter GmbH, Walter, 2019.

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Bwanakare, Second. Non-Extensive Entropy Econometrics for Low Frequency Series : National Accounts-Based Inverse Problems. de Gruyter GmbH, Walter, 2017.

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Bwanakare, Second. Non-Extensive Entropy Econometrics for Low Frequency Series : National Accounts-Based Inverse Problems. de Gruyter GmbH, Walter, 2020.

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Bwanakare, Second. Non-Extensive Entropy Econometrics for Low Frequency Series : National Accounts-Based Inverse Problems. De Gruyter, Inc., 2019.

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Bwanakare, Second. Non-Extensive Entropy Econometrics for Low Frequency Series : National Accounts-Based Inverse Problems. de Gruyter GmbH, Walter, 2017.

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Rees, David. Insects of Stored Products. CSIRO Publishing, 2004. http://dx.doi.org/10.1071/9780643101128.

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Insect infestations in grains and other stored food and fibre products cause annual losses worth many millions of dollars worldwide. This illustrated guide enables specialists and non-specialists to distinguish the major pests of durable stored products found throughout the world. It describes how to identify each pest group or species and summarises the latest information on their biology, ecology, geographical distribution, the damage they cause and their economic importance. Hundreds of colour photographs illustrate the identifying features of the most important beetles, moths, psocids, bugs and wasps found in stored products. Essential details on inspection and trapping are included to aid in the early detection of infestations, allowing more time to plan and undertake effective pest control. An extensive bibliography provides a convenient entry point to the specialised literature on these insects. This concise yet comprehensive reference is an essential tool for people responsible for the storage and handling of dried durable products of plant and animal origin worldwide.

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Aliverti, Ana. Policing the Borders Within. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780198868828.001.0001.

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Policing the Borders Within offers an in-depth, comprehensive exploration of the everyday working of inland border controls in Britain informed by extensive empirical material explored through the lens of wide-ranging interdisciplinary debates. In particular, this book examines afresh the relationship between policing, borders, and social order through the lens of migration policing. By charting this new landscape of everyday contemporary policing, the book’s main goal is to advance understanding of novel forms of law enforcement in a global age. These new forms of collaboration direct attention to the way in which front-line enforcement agents through their everyday work recreate the border, and not just enforce it. As the book argues, the emphasis on borders and migration controls and the growing importance of it within inland everyday policing is a symptom of the new demands and challenges facing the state in exercising authority in a fast-moving, interconnected world, and its attempt to offer a semblance of order. Such challenges result in practice in the random, capricious, informal, and arbitrary operation of power, which relies on non-rational, magic-like elements to solve policing problems. Through an ethnography of the worlds of police and immigration officers, the book dissects the ethical, political, legal, and social dilemmas, tensions, and contradictions posed by the task of maintaining order in a deeply unequal globalized world. The new impetus to police migration is an insightful entry point to understanding law enforcement in a global age.

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Chapitres de livres sur le sujet "NON-EXTENSIVE ENTROPY"

Fu, Lin, et Yuexian Hou. « Using Non-extensive Entropy for Text Classification ». Dans Emerging Intelligent Computing Technology and Applications, 908–17. Berlin, Heidelberg : Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-04070-2_96.

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Papadimitriou, Fivos. « Spatial Entropy, Non-Extensive Thermodynamics and Landscape Change ». Dans RaumFragen : Stadt – Region – Landschaft, 103–21. Wiesbaden : Springer Fachmedien Wiesbaden, 2022. http://dx.doi.org/10.1007/978-3-658-35596-8_7.

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Girardin, Valérie, et Philippe Regnault. « Extensive Entropy Functionals and Non-ergodic Random Walks ». Dans Lecture Notes in Computer Science, 117–24. Cham : Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-38271-0_12.

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Rodrigues, Paulo S. S., Gilson A. Giraldi, Ruey-Feng Chang et Jasjit S. Suri. « Object Tracking In Image Sequence Combining Hausdorff Distance, Non-Extensive Entropy In Level Set Formulation ». Dans Deformable Models, 477–515. New York, NY : Springer New York, 2007. http://dx.doi.org/10.1007/978-0-387-68413-0_14.

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Liu, Yu, Ruiyi Wang et Haitao Guo. « Segmenting of the Sonar Image from an Undersea Goal Using Two Dimensional THC Entropy ». Dans Proceeding of 2021 International Conference on Wireless Communications, Networking and Applications, 831–36. Singapore : Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-2456-9_84.

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AbstractSonar image segmentation is the basis of undersea goal detection and recognition. The THC (Tsallis-Havrda-Charvát) entropy can describe the statistical properties of the non-extensive systems and has a wider range of applications. There are multiple choices for the two features of the two-dimensional histograms, such as the gray value, the average gray value within a neighborhood, the median gray value within a neighborhood, the mode of gray values within a neighborhood, and so on. This paper investigates the segmentation results of a sonar image from an undersea goal using THC entropies of a variety of two-dimensional histograms, and gives the evaluation indexes for the segmentation results.

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Kouvatsos, Demetres D., et Salam A. Assi. « On the Analysis of Queues with Heavy Tails : A Non-Extensive Maximum Entropy Formalism and a Generalisation of the Zipf-Mandelbrot Distribution ». Dans Performance Evaluation of Computer and Communication Systems. Milestones and Future Challenges, 99–111. Berlin, Heidelberg : Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-25575-5_9.

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Denzel, Markus A. « Bookkeeping as a ‘key technology’ of pre-modern commerce. Its relevance for the eco-nomic development in Europe ». Dans L’economia della conoscenza : innovazione, produttività e crescita economica nei secoli XIII-XVIII / The knowledge economy : innovation, productivity and economic growth, 13th to 18th century, 209–35. Florence : Firenze University Press, 2023. http://dx.doi.org/10.36253/979-12-215-0092-9.14.

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It is the aim of this paper to analyse the importance of (double-entry) bookkeeping for the economic development in Europe and its possible indirect influence on economic growth. Being one of the most important commercial techniques of the European merchants double-entry bookkeeping stayed in close relationship to the expansion of trade. So, the distribution of different bookkeeping techniques all over Western and Central Europe, took place, on one hand, through the extensive commercial contacts of Italian merchant-bankers with merchants of regions north of the Alps and because of the need of many non-Italian merchants to consolidate their commercial knowledge in Italy through specific studies and/or through acquiring practical knowledge. On the other, treaties on (double-entry) bookkeeping supported its diffusion. The study analyses examples of ledgers as ‘mirrors’ of their enterprises’ activities, and it will be shown how such ledgers served as instruments for reducing various risks of entrepreneurial engagement. As a result it will become clear that the knowledge of the technique of double-entry bookkeeping was one of the preconditions of the commercial and, later on, the industrial expansion of the Europeans, which made a significant difference to other merchant cultures in the world.

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Queiros-Condé, Diogo, et Michel Feidt. « Non-extensive Thermodynamics, Fractal Geometry and Scale-entropy ». Dans Fractal and Trans-scale Nature of Entropy, 135–49. Elsevier, 2018. http://dx.doi.org/10.1016/b978-1-78548-193-2.50004-6.

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« Acknowledgements ». Dans Non-Extensive Entropy Econometrics for Low Frequency Series, ix. De Gruyter Open Poland, 2017. http://dx.doi.org/10.1515/9783110550443-001.

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« Summary ». Dans Non-Extensive Entropy Econometrics for Low Frequency Series, x—xii. De Gruyter Open Poland, 2017. http://dx.doi.org/10.1515/9783110550443-002.

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Actes de conférences sur le sujet "NON-EXTENSIVE ENTROPY"

Sotolongo-Grau, O., D. Rodriguez-Perez, J. C. Antoranz, O. Sotolongo-Costa, Ali Mohammad-Djafari, Jean-François Bercher et Pierre Bessiére. « Non-extensive radiobiology ». Dans BAYESIAN INFERENCE AND MAXIMUM ENTROPY METHODS IN SCIENCE AND ENGINEERING : Proceedings of the 30th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering. AIP, 2011. http://dx.doi.org/10.1063/1.3573620.

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Susan, Seba, Puneet Sharawat, Sandeep Singh, Ramkesh Meena, Amit Verma et Mukesh Kumar. « Fuzzy C-means with non-extensive entropy regularization ». Dans 2015 IEEE International Conference on Signal Processing, Informatics, Communication and Energy Systems (SPICES). IEEE, 2015. http://dx.doi.org/10.1109/spices.2015.7091464.

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Vignat, C., J. F. Bercher, Paul M. Goggans et Chun-Yong Chan. « Geometric aspects of the non-extensive statistical theory ». Dans BAYESIAN INFERENCE AND MAXIMUM ENTROPY METHODS IN SCIENCE AND ENGINEERING : The 29th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering. AIP, 2009. http://dx.doi.org/10.1063/1.3275611.

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Suri, J. S., Ruey-Feng Chang, G. A. Giraldi, P. S. Rodrigues, J. S. Suri, Ruey-Feng Chang, G. A. Giraldi et P. S. Rodrigues. « Non-Extensive Entropy for CAD Systems of Breast Cancer Images ». Dans 2006 19th Brazilian Symposium on Computer Graphics and Image Processing. IEEE, 2006. http://dx.doi.org/10.1109/sibgrapi.2006.31.

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El-Feghi, I., M. Galhoud, M. A. Sid-Aadhmed et M. Ahmadi. « Three-Level Gray-Scale Images Segmentation using Non-extensive Entropy ». Dans Computer Graphics, Imaging and Visualisation - new advances. IEEE, 2007. http://dx.doi.org/10.1109/cgiv.2007.83.

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Li, Gang, Xiaoping Fan et Yan Li. « The Thresholding Methods Based on Two-Dimensional Non-extensive Entropy ». Dans 2008 Congress on Image and Signal Processing. IEEE, 2008. http://dx.doi.org/10.1109/cisp.2008.148.

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Susan, Seba, et Mayank Dwivedi. « Dynamic Growth of Hidden-Layer Neurons Using the Non-extensive Entropy ». Dans 2014 International Conference on Communication Systems and Network Technologies (CSNT). IEEE, 2014. http://dx.doi.org/10.1109/csnt.2014.104.

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Kou, Qiaoying, Jing Xiong, Mingjie Sun et Congjie Ou. « A Non-extensive Entropy-Based Adaptive Multi-threshold Image Segmentation Algorithm ». Dans 2022 5th International Conference on Pattern Recognition and Artificial Intelligence (PRAI). IEEE, 2022. http://dx.doi.org/10.1109/prai55851.2022.9904107.

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Susan, Seba, et Madasu Hanmandlu. « A novel Fuzzy Entropy based on the Non-Extensive entropy and its application for feature selection ». Dans 2013 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2013. http://dx.doi.org/10.1109/fuzz-ieee.2013.6622456.

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Bíró, Gábor, Gergely Gábor Barnaföldi, Tamás Sándor Biró et Károly Ürmössy. « Application of the non-extensive statistical approach to high energy particle collisions ». Dans BAYESIAN INFERENCE AND MAXIMUM ENTROPY METHODS IN SCIENCE AND ENGINEERING : Proceedings of the 36th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering (MaxEnt 2016). Author(s), 2017. http://dx.doi.org/10.1063/1.4985366.

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