LEADER 00791nam0 2200253 450 001 9911066427903321 005 20260305103303.0 100 $a20260305d1983----km y0itay50 ba 101 0 $aita 102 $aIT 105 $aa b 001yy 200 1 $aGianni Colombo$eper un nuovo concetto di campo$eSuzzara, Galleria d'arte contemporanea, 13 marzo - 17 aprile1983$fdi Marco Meneguzzo$g[catalogo a cura di Alberto Lui] 210 $aMantova$cPubli-Paolini$d1983 215 $a60 p.$cill.$d21 cm 610 0 $aColombo, Gianni 702 1$aLui,$bAlberto 702 1$aMeneguzzo,$bMarco 801 0$aIT$bUNINA$gREICAT$2UNIMARC 901 $aBK 912 $a9911066427903321 952 $aDE FUSCO 2247$bRDF 2316$fDARST 959 $aDARST 996 $aGianni Colombo$91123813 997 $aUNINA LEADER 03490nam 22006495 450 001 996691664603316 005 20251020130411.0 010 $a3-032-03921-5 024 7 $a10.1007/978-3-032-03921-7 035 $a(MiAaPQ)EBC32364782 035 $a(Au-PeEL)EBL32364782 035 $a(CKB)41689390000041 035 $a(DE-He213)978-3-032-03921-7 035 $a(OCoLC)1546970684 035 $a(EXLCZ)9941689390000041 100 $a20251020d2026 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aGeometric Science of Information $e7th International Conference, GSI 2025, Saint-Malo, France, October 29?31, 2025, Proceedings, Part II /$fedited by Frank Nielsen, Frédéric Barbaresco 205 $a1st ed. 2026. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2026. 215 $a1 online resource (862 pages) 225 1 $aLecture Notes in Computer Science,$x1611-3349 ;$v16034 311 08$a3-032-03920-7 330 $aThe 3-volume set LNCS 16033 - 16035 constitutes the proceedings of the 7th International Conference on Geometric Science of Information, GSI 2025, held in St. Malo, France, during October 2025. The main theme of GSI 2025 was: Geometric Structures of Statistical and Quantum Physics, Information Geometry, and Machine Learning: FROM CLASSICAL TO QUANTUM INFORMATION GEOMETRY. The 124 full papers included in the proceedings were carefully reviewed and selected from 146 submissions. They were organized in topical sections as follows: Part I: Geometric Learning and Differential Invariants on Homogeneous Spaces; Statistical Manifolds and Hessian information geometry; Applied Geometry-Informed Machine Learning; Geometric Green Learning on Groups and Quotient Spaces; Divergences in Statistics and Machine Learning; Part II: Geometric Statistics; Computational Information Geometry and Divergences; Geometric Methods in Thermodynamics; Classical & Quantum Information, Geometry and Topology; Geometric Mechanics; Stochastic Geometric Dynamics; Part III: New trends in Nonholonomic Systems; Learning of Dynamic Processes; Optimization and learning on manifolds; Neurogeometry; Lie Group in Learning Distributions & in Filters; A geometric approach to differential equations; Information Geometry, Delzant Toric Manifold & Integrable System. . 410 0$aLecture Notes in Computer Science,$x1611-3349 ;$v16034 606 $aComputer science$xMathematics 606 $aArtificial intelligence 606 $aComputer engineering 606 $aComputer networks 606 $aComputer vision 606 $aMathematics of Computing 606 $aArtificial Intelligence 606 $aComputer Engineering and Networks 606 $aComputer Vision 615 0$aComputer science$xMathematics. 615 0$aArtificial intelligence. 615 0$aComputer engineering. 615 0$aComputer networks. 615 0$aComputer vision. 615 14$aMathematics of Computing. 615 24$aArtificial Intelligence. 615 24$aComputer Engineering and Networks. 615 24$aComputer Vision. 676 $a004.0151 700 $aNielsen$b Frank$0850506 701 $aBarbaresco$b édéric$0995337 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996691664603316 996 $aGeometric Science of Information$94466422 997 $aUNISA