001472392 000__ 04186cam\\22006977i\4500
001472392 001__ 1472392
001472392 003__ OCoLC
001472392 005__ 20230908003409.0
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001472392 008__ 230809s2023\\\\sz\a\\\\o\\\\\101\0\eng\d
001472392 019__ $$a1392342530
001472392 020__ $$a9783031382994$$q(electronic bk.)
001472392 020__ $$a3031382994$$q(electronic bk.)
001472392 020__ $$z9783031382987
001472392 0247_ $$a10.1007/978-3-031-38299-4$$2doi
001472392 035__ $$aSP(OCoLC)1393143939
001472392 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dEBLCP
001472392 049__ $$aISEA
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001472392 08204 $$a516.36$$223/eng/20230809
001472392 1112_ $$aInternational SEE Conference on Geometric Science of Information$$n(6th :$$d2023 :$$cSaint-Malo, France)
001472392 24510 $$aGeometric Science of Information :$$b6th International Conference, GSI 2023, St. Malo, France, August 30 - September 1, 2023, Proceedings.$$nPart II /$$cFrank Nielsen, Frédéric Barbaresco, editors.
001472392 2463_ $$aGSI 2023
001472392 264_1 $$aCham :$$bSpringer,$$c2023.
001472392 300__ $$a1 online resource (xlvi, 648 pages) :$$billustrations (some color).
001472392 336__ $$atext$$btxt$$2rdacontent
001472392 337__ $$acomputer$$bc$$2rdamedia
001472392 338__ $$aonline resource$$bcr$$2rdacarrier
001472392 4901_ $$aLecture notes in computer science,$$x1611-3349 ;$$v14072
001472392 500__ $$aIncludes author index.
001472392 5050_ $$aGeometry and machine learning -- Divergences and computational information geometry -- Statistics, topology and shape spaces -- Geometry and mechanics -- Geometry, learning dynamics and thermodynamics -- Quantum information geometry -- Geometry and biological structures -- Geometry and applications.
001472392 506__ $$aAccess limited to authorized users.
001472392 520__ $$aThis book constitutes the proceedings of the 6th International Conference on Geometric Science of Information, GSI 2023, held in St. Malo, France, during August 30-September 1, 2023. The 125 full papers presented in this volume were carefully reviewed and selected from 161 submissions. They cover all the main topics and highlights in the domain of geometric science of information, including information geometry manifolds of structured data/information and their advanced applications. The papers are organized in the following topics: geometry and machine learning; divergences and computational information geometry; statistics, topology and shape spaces; geometry and mechanics; geometry, learning dynamics and thermodynamics; quantum information geometry; geometry and biological structures; geometry and applications.
001472392 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed August 9, 2023).
001472392 650_0 $$aGeometry, Differential$$vCongresses.
001472392 650_0 $$aMathematical statistics$$vCongresses.
001472392 650_0 $$aRiemannian manifolds$$vCongresses.
001472392 650_0 $$aInformation theory in mathematics$$vCongresses.
001472392 650_0 $$aMathematical physics$$vCongresses.
001472392 650_0 $$aInformation science$$xMathematics$$vCongresses.
001472392 650_0 $$aCognitive science$$xMathematics$$vCongresses.
001472392 655_0 $$aElectronic books.
001472392 7001_ $$aNielsen, Frank,$$eeditor.$$0(orcid)0000-0001-5728-0726$$1https://orcid.org/0000-0001-5728-0726
001472392 7001_ $$aBarbaresco, Frédéric,$$eeditor.$$1https://orcid.org/0000-0003-3664-3609
001472392 77608 $$iPrint version:$$aNielsen, Frank$$tGeometric Science of Information$$dCham : Springer,c2023$$z9783031382987
001472392 830_0 $$aLecture notes in computer science ;$$v14072.$$x1611-3349
001472392 852__ $$bebk
001472392 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-38299-4$$zOnline Access$$91397441.1
001472392 909CO $$ooai:library.usi.edu:1472392$$pGLOBAL_SET
001472392 980__ $$aBIB
001472392 980__ $$aEBOOK
001472392 982__ $$aEbook
001472392 983__ $$aOnline
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