001472391 000__ 04197cam\\22006977i\4500
001472391 001__ 1472391
001472391 003__ OCoLC
001472391 005__ 20230908003409.0
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001472391 008__ 230809s2023\\\\sz\a\\\\o\\\\\101\0\eng\d
001472391 019__ $$a1392342467
001472391 020__ $$a9783031382710$$q(electronic bk.)
001472391 020__ $$a3031382714$$q(electronic bk.)
001472391 020__ $$z9783031382703
001472391 0247_ $$a10.1007/978-3-031-38271-0$$2doi
001472391 035__ $$aSP(OCoLC)1393143925
001472391 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dEBLCP
001472391 049__ $$aISEA
001472391 050_4 $$aQA641
001472391 08204 $$a516.36$$223/eng/20230809
001472391 1112_ $$aInternational SEE Conference on Geometric Science of Information$$n(6th :$$d2023 :$$cSaint-Malo, France)
001472391 24510 $$aGeometric science of information :$$b6th International Conference, GSI 2023, St. Malo, France, August 30 - September 1, 2023, Proceedings.$$nPart I /$$cFrank Nielsen, Frédéric Barbaresco, editors.
001472391 2463_ $$aGSI 2023
001472391 264_1 $$aCham, Switzerland :$$bSpringer,$$c2023.
001472391 300__ $$a1 online resource (xlv, 624 pages) :$$billustrations (some color).
001472391 336__ $$atext$$btxt$$2rdacontent
001472391 337__ $$acomputer$$bc$$2rdamedia
001472391 338__ $$aonline resource$$bcr$$2rdacarrier
001472391 4901_ $$aLecture notes in computer science,$$x1611-3349 ;$$v14071
001472391 500__ $$aIncludes author index.
001472391 5050_ $$aGeometry and machine learning -- Divergences and computational information geometry -- Statistics, topology and shape spaces -- Geometry and mechanics -- Geometry, learning dynamics and thermodynamics -- Quantum information geometry -- Geometry and biological structures -- Geometry and applications.
001472391 506__ $$aAccess limited to authorized users.
001472391 520__ $$aThis book constitutes the proceedings of the 6th International Conference on Geometric Science of Information, GSI 2023, held in St. Malo, France, during August 30-September 1, 2023. The 125 full papers presented in this volume were carefully reviewed and selected from 161 submissions. They cover all the main topics and highlights in the domain of geometric science of information, including information geometry manifolds of structured data/information and their advanced applications. The papers are organized in the following topics: geometry and machine learning; divergences and computational information geometry; statistics, topology and shape spaces; geometry and mechanics; geometry, learning dynamics and thermodynamics; quantum information geometry; geometry and biological structures; geometry and applications.
001472391 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed August 9, 2023).
001472391 650_0 $$aGeometry, Differential$$vCongresses.
001472391 650_0 $$aMathematical statistics$$vCongresses.
001472391 650_0 $$aRiemannian manifolds$$vCongresses.
001472391 650_0 $$aInformation theory in mathematics$$vCongresses.
001472391 650_0 $$aMathematical physics$$vCongresses.
001472391 650_0 $$aInformation science$$xMathematics$$vCongresses.
001472391 650_0 $$aCognitive science$$xMathematics$$vCongresses.
001472391 655_0 $$aElectronic books.
001472391 7001_ $$aNielsen, Frank,$$eeditor.$$0(orcid)0000-0001-5728-0726$$1https://orcid.org/0000-0001-5728-0726
001472391 7001_ $$aBarbaresco, Frédéric,$$eeditor.$$1https://orcid.org/0000-0003-3664-3609
001472391 77608 $$iPrint version:$$aNielsen, Frank$$tGeometric Science of Information$$dCham : Springer,c2023$$z9783031382703
001472391 830_0 $$aLecture notes in computer science ;$$v14071.$$x1611-3349
001472391 852__ $$bebk
001472391 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-38271-0$$zOnline Access$$91397441.1
001472391 909CO $$ooai:library.usi.edu:1472391$$pGLOBAL_SET
001472391 980__ $$aBIB
001472391 980__ $$aEBOOK
001472391 982__ $$aEbook
001472391 983__ $$aOnline
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