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Livres sur le sujet « Entropy algorithms »

Auteur : Grafiati

Publié le 17 mai 2025

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1

National Institute of Standards and Technology (U.S.), dir. Parallel algorithms for entropy-coding techniques. Gaithersburg, MD : U.S. Dept. of Commerce, Technology Administration, National Institute of Standards and Technology, 1998.

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2

Santos, Cícero Nogueira dos. Entropy guided transformation learning : Algorithms and applications. London : Springer, 2012.

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3

dos Santos, Cícero Nogueira, et Ruy Luiz Milidiú. Entropy Guided Transformation Learning : Algorithms and Applications. London : Springer London, 2012. http://dx.doi.org/10.1007/978-1-4471-2978-3.

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4

Luiz, Milidiu Ruy, et SpringerLink (Online service), dir. Entropy Guided Transformation Learning : Algorithms and Applications. London : Springer London, 2012.

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5

Príncipe, J. C. Information theoretic learning : Renyi's entropy and kernel perspectives. New York : Springer, 2010.

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6

M, Le Thinh, Lian Yong et SpringerLink (Online service), dir. Entropy Coders of the H.264/AVC Standard : Algorithms and VLSI Architectures. Berlin, Heidelberg : Springer-Verlag Berlin Heidelberg, 2011.

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7

1954-, Mayer-Kress G., et International Workshop on "Dimensions and Entropies in Chaotic Systems" (1985 : Pecos River Ranch), dir. Dimensions and entropies in chaotic systems : Quantification of complex behavior : proceedings of an international workshop at the Pecos River Ranch, New Mexico, September 11-16, 1985. Berlin : Springer-Verlag, 1986.

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8

Sbert, Mateu. Information theory tools for computer graphics. San Rafael, Calif. (1537 Fourth Street, San Rafael, CA 94901 USA) : Morgan & Claypool Publishers, 2009.

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9

United States. National Aeronautics and Space Administration., dir. An adaptive numeric predictor-corrector guidance algorithm for atmospheric entry vehicles. Cambridge, Mass : The Charles Stark Draper Laboratories, Inc., 1987.

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10

United States. National Aeronautics and Space Administration., dir. Entry vehicle performance analysis and atmospheric guidance algorithm for precision landing on Mars. Cambridge, Mass : The Charles Stark Draper Laboratory, Inc., 1990.

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11

Fampa, Marcia, et Jon Lee. Maximum-Entropy Sampling : Algorithms and Application. Springer International Publishing AG, 2022.

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12

Maximum-Entropy Sampling : Algorithms and Application. Springer International Publishing AG, 2023.

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13

Santos, Cícero Nogueira dos, et Ruy Luiz Milidiú. Entropy Guided Transformation Learning : Algorithms and Applications. Springer, 2012.

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14

Spiegel, Laurie. Thoughts on Composing with Algorithms. Sous la direction de Roger T. Dean et Alex McLean. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780190226992.013.26.

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In this chapter Laurie Spiegel, a pioneer of algorithmic logic in music composition, considers various reasons to use algorithms, including their function as descriptors, generators and adjuncts to creative musical practises. Self-simulation (notably, of decision making processes) is juxtaposed against the sonification of external information and various other uses of algorithms are also described. Human input may be minimal or extensive for the logic used to specify parameters of individual sonic events, variations in global informational entropy, inherent structuring or to achieve variation of material. Spiegel values algorithms particularly to allow her to ‘inhabit the state of flow’ of music by freeing her to focus on selected aspects of composing while handing off other aspects to automated procedures. The chapter includes descriptions of the kinds of uses of algorithmic logic that have contributed to the composition of specific musical works.

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15

Tian, Xiaohua, Thinh M. Le et Yong Lian. Entropy Coders of the H.264/AVC Standard : Algorithms and VLSI Architectures. Springer, 2012.

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16

Tian, Xiaohua, Thinh M. Le et Yong Lian. Entropy Coders of the H.264/AVC Standard : Algorithms and VLSI Architectures. Springer, 2010.

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17

Mayer-Kress, Gottfried. Dimensions and Entropies in Chaotic Systems : Quantification of Complex Behavior (Springer Series in Synergetics). Springer, 1989.

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18

Rigau, Jaume, Miguel Chover, Mateu Sbert, Miquel Feixas et Ivan Viola. Information Theory Tools for Computer Graphics. Springer International Publishing AG, 2009.

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19

Investigation of computational and spectral analysis methods for aeroacoustic wave propagation : Abstract. [Washington, D.C : National Aeronautics and Space Administration, 1995.

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20

Bianconi, Ginestra. Multilayer Network Models. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198753919.003.0010.

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This chapter presents the existing modelling frameworks for multiplex and multilayer networks. Multiplex network models are divided into growing multiplex network models and null models of multiplex networks. Growing multiplex networks are here shown to explain the main dynamical rules responsible to the emergent properties of multiplex networks, including the scale-free degree distribution, interlayer degree correlations and multilayer communities. Null models of multiplex networks are described in the context of maximum-entropy multiplex network ensembles. Randomization algorithms to test the relevant of network properties against null models are here described. Moreover, Multi-slice temporal networks Models capturing main properties of real temporal network data are presented. Finally, null models of general multilayer networks and networks of networks are characterized.

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21

JIA, LIU RU. Algorithm contest entry classic. Tsinghua University Press, 2014.

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22

Соловйов, Володимир Миколайович, Андрій Олександрович Бєлінський,, A. V. Matviychuk et O. A. Serdyuk. Permutation Based Complexity Measures and Crashes. Братислава-Харьков, ВШЭМ – ХНЭУ им. С. Кузнеца, 2021. http://dx.doi.org/10.31812/123456789/4397.

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A comprehensive analysis of permutation measures of the complexity of economic systems is performed by calculating the permutation entropy and the Kullback-Leibler divergence within the algorithm of a sliding window. A comparative analysis of these measures with the daily values of the Dow Jones index, WTI oil prices and Bitcoin prices indicate the possibility of their use as indicators-precursors of the known crashes in selected markets

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23

Tiwari, Sandip. Information mechanics. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198759874.003.0001.

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Information is physical, so its manipulation through devices is subject to its own mechanics: the science and engineering of behavioral description, which is intermingled with classical, quantum and statistical mechanics principles. This chapter is a unification of these principles and physical laws with their implications for nanoscale. Ideas of state machines, Church-Turing thesis and its embodiment in various state machines, probabilities, Bayesian principles and entropy in its various forms (Shannon, Boltzmann, von Neumann, algorithmic) with an eye on the principle of maximum entropy as an information manipulation tool. Notions of conservation and non-conservation are applied to example circuit forms folding in adiabatic, isothermal, reversible and irreversible processes. This brings out implications of fluctuation and transitions, the interplay of errors and stability and the energy cost of determinism. It concludes discussing networks as tools to understand information flow and decision making and with an introduction to entanglement in quantum computing.

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Bi, Xiaojun, Brian Smith, Tom Ouyang et Shumin Zhai. Soft Keyboard Performance Optimization. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198799603.003.0006.

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Optimization techniques have played a vital role in improving the performance (i.e., input speed and accuracy) of soft keyboards. This chapter introduces the challenges, methodologies, and results of keyboard performance optimization. Leveraging the robust human motor control phenomena manifested in text entry, we used the Metropolis random walk algorithm, and Pareto multi-objective optimization method to optimize the keyboard layout and a soft keyboard decoder. The optimization led to layouts that shorten finger travel distance and improve the input speed as well as accuracy over the Qwerty layout, and a soft keyboard decoder with improved correction and completion ability.

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Astarci, Parla, Laurent de Kerchove et Gébrine el Khoury. Aortic emergencies. Oxford University Press, 2015. http://dx.doi.org/10.1093/med/9780199687039.003.0061.

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Acute aortic dissections account for the leading and most feared of aortic emergencies. Acute dissections are associated with a dreadful mortality rate; therefore, an accurate diagnosis and immediate treatment are mandatory. The key point of a lifesaving management strategy is the distinction between acute type A dissection, uncomplicated type B dissection, and complicated type B dissection, and those including contained ruptured aorta (severe pleural effusion) and/or malperfusion syndrome (by end-organ ischaemia: paraplegia, intestinal ischaemia, renal insufficiency, limb ischaemia). Type A generally requires urgent surgery; uncomplicated type B dissections are treated conservatively, while complicated type B dissections are currently managed by means of minimally invasive endovascular techniques, eventually associated with a tight surgical time (e.g. in the case of limb ischaemia). Surgical repair of type A dissection consists of the replacement of the ascending aorta. The repair is extended proximally towards the aortic root and valve, and distally towards the aortic arch, in function of the lesions found and the clinical presentation of the patient (haemodynamic status, age, comorbidities). The emergence of endovascular techniques and the contribution of thoracic endovascular aortic repair, with thoracic stent-grafts deployed from the proximal descending aorta to reopen the true lumen and to seal the entry tear in type B dissections, have revolutionized the surgical treatment algorithm in this pathology, and thus the patient’s immediate and medium-term survival. In the same group of acute aortic syndromes, traumatic aortic isthmic ruptures are also life-threatening conditions and account for one of the main causes of death at the time of traumatic accidents. As in the case of complicated type B dissections, the introduction of aortic stent-grafts has changed the outcome of these patients.

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