02921oam 2200661I 450 991079065130332120230207232004.01-134-56590-90-415-61230-61-315-88916-11-134-56583-610.4324/9781315889160 (CKB)2550000001131342(EBL)1474771(OCoLC)870591470(SSID)ssj0001157494(PQKBManifestationID)11654538(PQKBTitleCode)TC0001157494(PQKBWorkID)11208663(PQKB)11233131(MiAaPQ)EBC1474771(Au-PeEL)EBL1474771(CaPaEBR)ebr10786289(CaONFJC)MIL531051(OCoLC)958102546(OCoLC)868972438(FINmELB)ELB131746(EXLCZ)99255000000113134220180706e20051928 uy 0engur|n|---|||||txtccrEngland in Shakespeare's day /G.B. HarrisonLondon ;New York :Routledge,2005.1 online resource (440 p.)Routledge library editions. Shakespeare. History & politics ;IIFirst published in 1928.0-415-35311-4 1-299-99800-3 section I. The court -- section II. The service of the state -- section III. Education and youth -- section Ivolume Travel and trade -- section volume London life -- section VI. Country life -- section VII. Matters of religion -- section VIII. Men of letters -- section IX. Moods and manners.First published in 1928. <BR><BR>This book collects together over one hundred sources by Elizabethan authors which show English life in English literature. Most of them have been selected as much to catch the atmosphere as the moods of the period, and come from the great Elizabethan writers who can transmit the essence of the time. A 'gallery of Elizabethan pictures' rather than a complete survey of life in Shakespeare's day, the spelling and punctuation have been modernized throughout. To enable those who wish to read the extracts in their context, references are given to the most accessibleRoutledge library editions.Shakespeare.English literatureEarly modern, 1500-1700History and criticismEnglandSocial life and customs16th centurySourcesEnglandIntellectual life16th centuryEnglandLiterary collectionsEnglish literatureHistory and criticism.256Harrison G. B(George Bagshawe),1894-1991.,163927MiAaPQMiAaPQMiAaPQBOOK9910790651303321England in Shakespeare's day3792203UNINA03586nam 22003493a 450 991076577810332120250203235425.09783038976332303897633410.3390/books978-3-03897-633-2(CKB)5400000000000013(ScCtBLL)f4c82345-51f3-417f-b52a-3383ad573fbd(OCoLC)1105786105(EXLCZ)99540000000000001320250203i20192019 uu enguru||||||||||txtrdacontentcrdamediacrrdacarrierInformation GeometryGeert VerdoolaegeBasel, Switzerland :MDPI,2019.1 online resource (1 p.)This Special Issue of the journal Entropy, titled "Information Geometry I", contains a collection of 17 papers concerning the foundations and applications of information geometry. Based on a geometrical interpretation of probability, information geometry has become a rich mathematical field employing the methods of differential geometry. It has numerous applications to data science, physics, and neuroscience. Presenting original research, yet written in an accessible, tutorial style, this collection of papers will be useful for scientists who are new to the field, while providing an excellent reference for the more experienced researcher. Several papers are written by authorities in the field, and topics cover the foundations of information geometry, as well as applications to statistics, Bayesian inference, machine learning, complex systems, physics, and neuroscience.G)-connections; invariance; probability theory; Riemannian geometry; complexity; Bayesian prediction; Fisher information; Kullback-Leibler divergence; minimax; predictive metric; subminimax estimator; information geometry; Markov chain Monte Carlo; Bayesian inference; computational statistics; machine learning; statistical mechanics; diffusions; Fisher information metric; information geometry; convex support polytope; conditional model; Markov morphism; isometric embedding; natural gradient; bag-of-X; α-divergence; Jeffreys divergence; centroid; k-means clustering; k-means seeding; information geometry; Boltzmann machine; Fisher information; parametric reduction; information geometry; variational Bayes; regime-switching log-normal model; model selection; covariance estimation; quantum entropy; metric; q-bit; information; geometry; geodesics; relevant entropy; Fisher information; Riemannian metric; prior distribution; univariate normal distribution; image classification; simplex; cone; exponential family; monotone likelihood ratio; unimodal; duality; information geometry; complexity measure; complex network; system decompositionability; geometric mean; statistical manifold; Riemannian Hessian; combinatorial optimization; Newton methodG)-metric; (Fτ) -structure; information geometry; computational geometry; statistical foundations; embedding; Amari's α-connections; F-metric; F-connections; (FMarkov random fields; information theory; Fisher information; entropy; maximum pseudo-likelihood estimation; Bezout matrix; Sylvester matrix; tensor Sylvester matrix; Stein equation; Vandermonde matrix; stationary process; matrix resultant; Fisher information matrix; information geometry; dually flat structure; decomposable divergence; (ρVerdoolaege Geert1309762ScCtBLLScCtBLLBOOK9910765778103321Information Geometry3029571UNINA01249oam 2200445zu 450 991014537270332120241212215630.09781509083787150908378297814244217561424421756(CKB)1000000000710807(SSID)ssj0000453625(PQKBManifestationID)12203620(PQKBTitleCode)TC0000453625(PQKBWorkID)10481472(PQKB)11214981(NjHacI)991000000000710807(EXLCZ)99100000000071080720160829d2008 uy engur|||||||||||txtccr2008 19th International Conference on Pattern Recognition[Place of publication not identified]I E E E20081 online resourceBibliographic Level Mode of Issuance: Monograph9781424421749 1424421748 TechnologyTechnology.600IEEE StaffPQKBPROCEEDING99101453727033212008 19th International Conference on Pattern Recognition2498997UNINA