LEADER 04144nam 2200757 a 450 001 9910454202803321 005 20200520144314.0 010 $a1-281-75265-7 010 $a0-520-94151-9 010 $a9786611752651 010 $a1-4356-8475-3 024 7 $a10.1525/9780520941519 035 $a(CKB)1000000000576803 035 $a(EBL)358944 035 $a(OCoLC)476183647 035 $a(SSID)ssj0000244390 035 $a(PQKBManifestationID)11200462 035 $a(PQKBTitleCode)TC0000244390 035 $a(PQKBWorkID)10169407 035 $a(PQKB)11179977 035 $a(StDuBDS)EDZ0000056078 035 $a(MiAaPQ)EBC358944 035 $a(DE-B1597)521087 035 $a(OCoLC)560506301 035 $a(DE-B1597)9780520941519 035 $a(Au-PeEL)EBL358944 035 $a(CaPaEBR)ebr10240768 035 $a(CaONFJC)MIL175265 035 $a(EXLCZ)991000000000576803 100 $a20071213d2008 ub 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aServants of the dynasty$b[electronic resource] $epalace women in world history /$fedited by Anne Walthall 210 $aBerkeley $cUniversity of California Press$dc2008 215 $a1 online resource (398 p.) 225 1 $aThe California world history library ;$v7 300 $a"An Ahmanson Foundation book in the humanities"--P. [4] of cover. 311 $a0-520-25444-9 311 $a0-520-25443-0 320 $aIncludes bibliographical references (p. 327-358) and index. 327 $tFrontmatter -- $tCONTENTS -- $tILLUSTRATIONS -- $tTABLES -- $tACKNOWLEDGMENTS -- $tINTRODUCING PALACE WOMEN -- $t1. WOMEN AND THE PERFORMANCE OF POWER IN EARLY MODERN SOUTHEAST ASIA -- $t2. WOMEN IN CLASSIC MAYA ROYAL COURTS -- $t3. WOMEN AND POWER AT THE BYZANTINE COURT -- $t4. BEYOND HAREM WALLS -- $t5. MUGHAL PALACE WOMEN -- $t6. POLITICS IN AN AFRICAN ROYAL HAREM -- $t7. QING IMPERIAL WOMEN -- $t8. THE ROYAL WOMEN OF IVAN IV'S FAMILY 8 AND THE MEANING OF FORCED TONSURE -- $t9. SERVANTS OF THE INNER QUARTERS -- $t10. WOMEN OF VERSAILLES, 1682-1789 -- $t11. CONCUBINES AND CLOTH -- $t12. WOMEN, ROYALTY, AND INDIGO DYEING IN NORTHERN NIGERIA, CIRCA 1500-1807 -- $t13. GENDER AND ENTERTAINMENT AT THE SONG COURT -- $t14. THE VANISHED WOMEN OF KOREA -- $tTHE PERILS OF THE SENTIMENTAL FAMILY FOR ROYALTY IN POSTREVOLUTIONARY FRANCE -- $tBIBLIOGRAPHY -- $tCONTRIBUTORS -- $tINDEX 330 $aMothers, wives, concubines, entertainers, attendants, officials, maids, drudges. By offering the first comparative view of the women who lived, worked, and served in royal courts around the globe, this work opens a new perspective on the monarchies that have dominated much of human history. Written by leading historians, anthropologists, and archeologists, these lively essays take us from Mayan states to twentieth-century Benin in Nigeria, to the palace of Japanese Shoguns, the Chinese Imperial courts, eighteenth-century Versailles, Mughal India, and beyond. Together they investigate how women's roles differed, how their roles changed over time, and how their histories can illuminate the structures of power and societies in which they lived. This work also furthers our understanding of how royal courts, created to project the authority of male rulers, maintained themselves through the reproductive and productive powers of women. 410 0$aCalifornia world history library ;$v7. 606 $aCourtesans$xHistory 606 $aCourts and courtiers$xHistory 606 $aLadies-in-waiting$xHistory 606 $aFavorites, Royal$xHistory 606 $aHarems$xHistory 608 $aElectronic books. 615 0$aCourtesans$xHistory. 615 0$aCourts and courtiers$xHistory. 615 0$aLadies-in-waiting$xHistory. 615 0$aFavorites, Royal$xHistory. 615 0$aHarems$xHistory. 676 $a306.84/109 701 $aWalthall$b Anne$01033801 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910454202803321 996 $aServants of the dynasty$92452537 997 $aUNINA LEADER 04014nam 22006975 450 001 9910427690903321 005 20251204105040.0 010 $a3-030-46444-X 024 7 $a10.1007/978-3-030-46444-8 035 $a(CKB)4100000011392572 035 $a(DE-He213)978-3-030-46444-8 035 $a(MiAaPQ)EBC6313862 035 $a(PPN)250214628 035 $a(EXLCZ)994100000011392572 100 $a20200820d2020 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aStatistical Field Theory for Neural Networks /$fby Moritz Helias, David Dahmen 205 $a1st ed. 2020. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2020. 215 $a1 online resource (XVII, 203 p. 127 illus., 5 illus. in color.) 225 1 $aLecture Notes in Physics,$x1616-6361 ;$v970 311 08$a3-030-46443-1 327 $aIntroduction -- Probabilities, moments, cumulants -- Gaussian distribution and Wick?s theorem -- Perturbation expansion -- Linked cluster theorem -- Functional preliminaries -- Functional formulation of stochastic differential equations -- Ornstein-Uhlenbeck process: The free Gaussian theory -- Perturbation theory for stochastic differential equations -- Dynamic mean-field theory for random networks -- Vertex generating function -- Application: TAP approximation -- Expansion of cumulants into tree diagrams of vertex functions -- Loopwise expansion of the effective action - Tree level -- Loopwise expansion in the MSRDJ formalism -- Nomenclature. 330 $aThis book presents a self-contained introduction to techniques from field theory applied to stochastic and collective dynamics in neuronal networks. These powerful analytical techniques, which are well established in other fields of physics, are the basis of current developments and offer solutions to pressing open problems in theoretical neuroscience and also machine learning. They enable a systematic and quantitative understanding of the dynamics in recurrent and stochastic neuronal networks. This book is intended for physicists, mathematicians, and computer scientists and it is designed for self-study by researchers who want to enter the field or as the main text for a one semester course at advanced undergraduate or graduate level. The theoretical concepts presented in this book are systematically developed from the very beginning, which only requires basic knowledge of analysis and linear algebra. 410 0$aLecture Notes in Physics,$x1616-6361 ;$v970 606 $aMathematical physics 606 $aNeurosciences 606 $aMachine learning 606 $aNeural networks (Computer science) 606 $aComputer science$xMathematics 606 $aMathematical statistics 606 $aTheoretical, Mathematical and Computational Physics 606 $aNeuroscience 606 $aMachine Learning 606 $aMathematical Models of Cognitive Processes and Neural Networks 606 $aProbability and Statistics in Computer Science 615 0$aMathematical physics. 615 0$aNeurosciences. 615 0$aMachine learning. 615 0$aNeural networks (Computer science). 615 0$aComputer science$xMathematics. 615 0$aMathematical statistics. 615 14$aTheoretical, Mathematical and Computational Physics. 615 24$aNeuroscience. 615 24$aMachine Learning. 615 24$aMathematical Models of Cognitive Processes and Neural Networks. 615 24$aProbability and Statistics in Computer Science. 676 $a519.2 700 $aHelias$b Moritz$4aut$4http://id.loc.gov/vocabulary/relators/aut$0932868 702 $aDahmen$b David$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910427690903321 996 $aStatistical Field Theory for Neural Networks$92099673 997 $aUNINA