派博傳思國際中心

標題: Titlebook: Geometric Structures of Statistical Physics, Information Geometry, and Learning; SPIGL‘20, Les Houche Frédéric Barbaresco,Frank Nielsen Con [打印本頁]

作者: 充裕    時間: 2025-3-21 18:15
書目名稱Geometric Structures of Statistical Physics, Information Geometry, and Learning影響因子(影響力)




書目名稱Geometric Structures of Statistical Physics, Information Geometry, and Learning影響因子(影響力)學科排名




書目名稱Geometric Structures of Statistical Physics, Information Geometry, and Learning網(wǎng)絡公開度




書目名稱Geometric Structures of Statistical Physics, Information Geometry, and Learning網(wǎng)絡公開度學科排名




書目名稱Geometric Structures of Statistical Physics, Information Geometry, and Learning被引頻次




書目名稱Geometric Structures of Statistical Physics, Information Geometry, and Learning被引頻次學科排名




書目名稱Geometric Structures of Statistical Physics, Information Geometry, and Learning年度引用




書目名稱Geometric Structures of Statistical Physics, Information Geometry, and Learning年度引用學科排名




書目名稱Geometric Structures of Statistical Physics, Information Geometry, and Learning讀者反饋




書目名稱Geometric Structures of Statistical Physics, Information Geometry, and Learning讀者反饋學科排名





作者: Estrogen    時間: 2025-3-21 21:49

作者: 催眠    時間: 2025-3-22 01:24
Sequelae of Ebola Virus Disease, by briefly reviewing the different approaches to build densities on a manifold and shows the interest of wrapped distributions. We then construct wrapped densities on .(.) and discuss their statistical estimation. We conclude by an opening to the case of symmetric spaces.
作者: Harass    時間: 2025-3-22 08:14
https://doi.org/10.1007/978-94-015-5853-2nsion space. The entropy is generalized as a 4-vector and the temperature as a 5-vector. The introduction of the friction and momentum tensors allows to obtain a covariant formulation of the first and second principles of Thermodynamics.
作者: notion    時間: 2025-3-22 11:32

作者: 獨白    時間: 2025-3-22 14:04

作者: 獨白    時間: 2025-3-22 18:52

作者: goodwill    時間: 2025-3-23 00:58
Galilean Thermodynamics of Continuansion space. The entropy is generalized as a 4-vector and the temperature as a 5-vector. The introduction of the friction and momentum tensors allows to obtain a covariant formulation of the first and second principles of Thermodynamics.
作者: strain    時間: 2025-3-23 05:14
Nonparametric Estimations and the Diffeological Fisher Metricnd slightly extending Lê’s theory in [.] to include weakly .-diffeological statistical models. Then we introduce the resulting notions of the diffeological Fisher distance, the diffeological Hausdorff–Jeffrey measure and explain their role in classical and Bayesian nonparametric estimation problems in statistics.
作者: 感情脆弱    時間: 2025-3-23 09:37

作者: Lice692    時間: 2025-3-23 10:31

作者: condemn    時間: 2025-3-23 14:59

作者: 他去就結束    時間: 2025-3-23 21:06
https://doi.org/10.1007/978-3-322-88176-2nder the title “Structure of Dynamical Systems, a Symplectic View of Physics”, is a work with an exceptional wealth which, fifty years after its publication, is still topical. In this paper, we give a brief description of its content and we intend to highlight the ideas that to us, are the most crea
作者: Lipohypertrophy    時間: 2025-3-23 23:38
,überlagerung von Potentialstr?mungen,“Lie groups thermodynamics”. This model was initially described in chapter IV “Statistical Mechanics” of his book “Structure of dynamical systems” published in 1969. We have translated in English some parts of three Souriau’s publications which provide more details about this geometric model of Ther
作者: 抵消    時間: 2025-3-24 06:06

作者: happiness    時間: 2025-3-24 07:14

作者: Stress    時間: 2025-3-24 13:19

作者: 斑駁    時間: 2025-3-24 15:54

作者: 能夠支付    時間: 2025-3-24 22:50

作者: 傲慢物    時間: 2025-3-24 23:09
Simon E. Coppard,Juan José Alvaradok is formed of the trio described in Prologue. Statistical models form a subcategory of the category of statistical manifolds. Intuitively, think of the notion of Foliation as (geometrical or topological) study of (discrete, continuous or differentiable) partitions. The Geometry of Statistical manif
作者: MERIT    時間: 2025-3-25 06:34

作者: laparoscopy    時間: 2025-3-25 09:44
Hakimeh Sadeghian,Zahra Savand-Roomimics?(see, [., .]). We specifically focus on the case of simple and open systems, in which the thermodynamic state is represented by one single entropy and the transfer of matter and heat with the exterior is included. We clarify the geometric structure by introducing an induced Dirac structure on t
作者: CLEAR    時間: 2025-3-25 13:43
Conducting a Cardiac Ultrasound Examinationontents of this paper and the one already published in?[.] provide a geometrical formulation, which tries to shed more light on the properties of thermodynamic systems without claiming to be a definitive theory. In order to model the time evolution of systems verifying the two laws of thermodynamics
作者: Surgeon    時間: 2025-3-25 18:53

作者: VOC    時間: 2025-3-25 20:43
Ischemia and Myocardial Infarctionincorporating boundary integral method and time integrator in Lie group setting. By assuming inviscid and incompressible fluid, the configuration space of the MBS-fluid system is reduced by eliminating fluid variables via symplectic reduction without compromising any accuracy. Consequently, the equa
作者: Ventilator    時間: 2025-3-26 00:57
The Naming and Classification of , SpeciesWe consider the integrable Hamiltonian System of the Peakons-Anti Peakons associated with the Camassa-Holm equation. Following previous contributions of Nakamura for the Toda Lattice, we discuss its link with the Geometry of Information.
作者: Tincture    時間: 2025-3-26 05:07
Physiology and Biochemistry of Echinostomes,This chapter is a revised version of a tutorial lecture that I presented at the école de Physique des Houches on July 26–31 2020. Topics include: Non-parametric Information Geometry, the Statistical bundle, exponential Orlicz spaces, and Gaussian Orlicz-Sobolev spaces.
作者: 拖債    時間: 2025-3-26 12:25

作者: 低三下四之人    時間: 2025-3-26 12:43
A Lecture About the Use of Orlicz Spaces in Information GeometryThis chapter is a revised version of a tutorial lecture that I presented at the école de Physique des Houches on July 26–31 2020. Topics include: Non-parametric Information Geometry, the Statistical bundle, exponential Orlicz spaces, and Gaussian Orlicz-Sobolev spaces.
作者: 啪心兒跳動    時間: 2025-3-26 17:41

作者: 間諜活動    時間: 2025-3-26 23:16
Jean-Marie Souriau’s Symplectic Model of Statistical Physics: Seminal Papers on Lie Groups Thermodyn“Lie groups thermodynamics”. This model was initially described in chapter IV “Statistical Mechanics” of his book “Structure of dynamical systems” published in 1969. We have translated in English some parts of three Souriau’s publications which provide more details about this geometric model of Ther
作者: accrete    時間: 2025-3-27 02:18
Souriau-Casimir Lie Groups Thermodynamics and Machine Learningel considers the statistical mechanics of dynamic systems in their “space of evolution” associated to a homogeneous symplectic manifold by a Lagrange 2-form, and defines in case of non-null cohomology (non equivariance of the coadjoint action on the moment map with appearance of an additional cocyle
作者: aggravate    時間: 2025-3-27 07:47

作者: 冬眠    時間: 2025-3-27 09:40
Wrapped Statistical Models on Manifolds: Motivations, The Case ,(,), and Generalization to Symmetric by briefly reviewing the different approaches to build densities on a manifold and shows the interest of wrapped distributions. We then construct wrapped densities on .(.) and discuss their statistical estimation. We conclude by an opening to the case of symmetric spaces.
作者: dithiolethione    時間: 2025-3-27 14:49
Galilean Thermodynamics of Continuansion space. The entropy is generalized as a 4-vector and the temperature as a 5-vector. The introduction of the friction and momentum tensors allows to obtain a covariant formulation of the first and second principles of Thermodynamics.
作者: acquisition    時間: 2025-3-27 19:17
Nonparametric Estimations and the Diffeological Fisher Metricnd slightly extending Lê’s theory in [.] to include weakly .-diffeological statistical models. Then we introduce the resulting notions of the diffeological Fisher distance, the diffeological Hausdorff–Jeffrey measure and explain their role in classical and Bayesian nonparametric estimation problems
作者: 歡樂東方    時間: 2025-3-27 22:10

作者: Parameter    時間: 2025-3-28 05:34

作者: 被詛咒的人    時間: 2025-3-28 08:29
Dirac Structures and Variational Formulation of Thermodynamics for Open Systemsmics?(see, [., .]). We specifically focus on the case of simple and open systems, in which the thermodynamic state is represented by one single entropy and the transfer of matter and heat with the exterior is included. We clarify the geometric structure by introducing an induced Dirac structure on t
作者: 新星    時間: 2025-3-28 12:04

作者: 永久    時間: 2025-3-28 15:13

作者: malign    時間: 2025-3-28 20:42
Computational Dynamics of Reduced Coupled Multibody-Fluid System in Lie Group Settingincorporating boundary integral method and time integrator in Lie group setting. By assuming inviscid and incompressible fluid, the configuration space of the MBS-fluid system is reduced by eliminating fluid variables via symplectic reduction without compromising any accuracy. Consequently, the equa
作者: 跳動    時間: 2025-3-29 01:48
Conference proceedings 2021s encountered in AI question the very foundations of statistical physics. This interplay between AI and statistical physics has been attested since the birth of AI, and principles underpinning statistical physics can shed new light on the conceptual basis of AI. During the last fifty years, statisti
作者: FUSE    時間: 2025-3-29 04:46
2194-1009 w insights from statistical machine learning.Combines numeri.Machine learning and artificial intelligence increasingly use methodological tools rooted in statistical physics. Conversely, limitations and pitfalls encountered in AI question the very foundations of statistical physics. This interplay b
作者: indignant    時間: 2025-3-29 11:00

作者: BOOST    時間: 2025-3-29 14:03
An Exponential Family on the Upper Half Plane and Its Conjugate Priorhe explicit form for the family of Poincaré distributions on the upper half plane. Here, Poincaré distributions are essentially the same with the hyperboloid distributions on the 2-dimensional hyperbolic space in the sense of Jensen.
作者: 轉換    時間: 2025-3-29 15:57
,überlagerung von Potentialstr?mungen,ctomorphisms. Souriau Entropy is invariant under the action of the group acting on the homogeneous symplectic manifold. As quoted by Souriau, these equations are universal and could be also of great interest in Mathematics.
作者: Palate    時間: 2025-3-29 19:49

作者: 水土    時間: 2025-3-30 03:40

作者: 動機    時間: 2025-3-30 07:32
The Geometry of Some Thermodynamic Systemsn and Hamiltonian formalism, discussing the fundamental principles from which the equations are derived. An important class of systems that is naturally covered by our formalism are composed thermodynamic systems, which are described by at least two thermal variables and exchange heat between its components.
作者: 漂浮    時間: 2025-3-30 08:52

作者: headlong    時間: 2025-3-30 15:39
Teresa S. M. Tsang,Larry J. Sinak,Jae K. Ohn within the levels of description, that is also to be recognized. This is how Poisson geometry enters machine learning. Learning to handle free surface liquids and damped rigid body rotation serves as an illustration.
作者: Disk199    時間: 2025-3-30 17:53

作者: myocardium    時間: 2025-3-31 00:21

作者: 爭吵加    時間: 2025-3-31 04:25
Souriau-Casimir Lie Groups Thermodynamics and Machine Learningteristic function, dual of Entropy by Legendre transform, as a generalized Casimir invariant function in adjoint representation, where Souriau cocycle is a measure of the lack of equivariance of the moment mapping. The dual space of the Lie algebra foliates into coadjoint orbits that are also the le




歡迎光臨 派博傳思國際中心 (http://www.pjsxioz.cn/) Powered by Discuz! X3.5
精河县| 县级市| 延吉市| 萍乡市| 舒兰市| 洱源县| 武强县| 星子县| 牡丹江市| 克拉玛依市| 东兰县| 濉溪县| 南陵县| 盘山县| 东丰县| 高淳县| 柏乡县| 新巴尔虎左旗| 弋阳县| 石景山区| 同德县| 萨迦县| 高州市| 任丘市| 威远县| 新民市| 湖口县| 麦盖提县| 呼伦贝尔市| 时尚| 雷山县| 浦东新区| 新郑市| 米脂县| 白城市| 襄垣县| 洛扎县| 九龙县| 大同县| 鹿泉市| 碌曲县|