LEADER 02061nam 2200397 n 450 001 996395732403316 005 20200824120536.0 035 $a(CKB)4330000000319292 035 $a(EEBO)2248505495 035 $a(UnM)99856506e 035 $a(UnM)99856506 035 $a(EXLCZ)994330000000319292 100 $a19921012d1563 uy | 101 0 $aeng 135 $aurbn||||a|bb| 200 00$aHere begynnith the firste volum of Syr Iohn Froissart$b[electronic resource] $eof the cronycles of Englande, Fraunce, Spayne, Portyngale, Scotlande, Bretaine, Flaunders: and other places adioynynge. Translated oute of Frenche into oure materall [sic] Englysshe tongue, by Iohn Bouchier [sic] knyghte, lorde Berners: at the co[m]maundement of oure moste hyghe redouted soueraygne lorde kynge Henrye the. viij. kynge of Englande, Fraunce, and Irelande defendour of the faith: and of the church of Englande and also of Irelande in earth the supreme heade 210 $a[Imprinted at Lu[n]don $cIn Flestrete [sic] at the signe of the George by. Wyllyam Myddylton [i.e. Thomas Marsh$dca. 1563]] 215 $a[10], CCC.xxii leaves 300 $aA translation of books 1 and 2 of the "Chroniques". 300 $aThe imprint, from colophon, is false; in fact printed by Thomas Marsh, ca. 1563 (STC). 300 $aRunning title reads: The cronicle of Froissart. 300 $aIn this edition, b1r col. 2 line 3 from bottom ends "king in his be"; b2r col. 1 line 1 has "litell hakeneis,". 300 $aIdentified as STC 11398 on UMI microfilm. 300 $aReproduction of the original in the British Library. 330 $aeebo-0018 607 $aEurope$xHistory$y476-1492$vEarly works to 1800 700 $aFroissart$b Jean$f1338?-1410?$0160356 701 $aBerners$b John Bourchier$cLord,$f1466 or 7-1533.$0196795 801 0$bCu-RivES 801 1$bCu-RivES 801 2$bCStRLIN 801 2$bWaOLN 906 $aBOOK 912 $a996395732403316 996 $aHere begynnith the firste volum of Syr Iohn Froissart$92338626 997 $aUNISA LEADER 01322aam 2200385I 450 001 9910714172803321 005 20160922100246.0 024 8 $aGOVPUB-C13-252e922bc2cac99a7dc16c91d9786325 035 $a(CKB)4330000001257722 035 $a(OCoLC)958933492 035 $a(EXLCZ)994330000001257722 100 $a20160922d1999 ua 0 101 0 $aeng 181 $2rdacontent 182 $2rdamedia 183 $2rdacarrier 200 10$aBenefits and costs of research $ea case study of cybernetic building systems /$fRobert E. Chapman 210 1$aGaithersburg, MD :$cU.S. Dept. of Commerce, National Institute of Standards and Technology,$d1999. 215 $a1 online resource 225 1 $aNISTIR ;$v6303 300 $a1999. 300 $aContributed record: Metadata reviewed, not verified. Some fields updated by batch processes. 300 $aTitle from PDF title page. 320 $aIncludes bibliographical references. 517 $aBenefits and Costs of Research 700 $aChapman$b Robert E$027123 701 $aChapman$b Robert E$027123 712 02$aNational Institute of Standards and Technology (U.S.) 801 0$bNBS 801 1$bNBS 801 2$bGPO 906 $aBOOK 912 $a9910714172803321 996 $aBenefits and costs of research$93437931 997 $aUNINA LEADER 05096nam 22007695 450 001 9910484653603321 005 20230403132458.0 010 $a3-319-55750-5 024 7 $a10.1007/978-3-319-55750-2 035 $a(CKB)3710000001157252 035 $a(DE-He213)978-3-319-55750-2 035 $a(MiAaPQ)EBC5578199 035 $a(PPN)200512382 035 $a(EXLCZ)993710000001157252 100 $a20170321d2017 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aComputational Intelligence in Music, Sound, Art and Design $e6th International Conference, EvoMUSART 2017, Amsterdam, The Netherlands, April 19?21, 2017, Proceedings /$fedited by Joćo Correia, Vic Ciesielski, Antonios Liapis 205 $a1st ed. 2017. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2017. 215 $a1 online resource (X, 371 p. 169 illus.) 225 1 $aTheoretical Computer Science and General Issues,$x2512-2029 ;$v10198 311 $a3-319-55749-1 320 $aIncludes bibliographical references and index. 327 $aAlgorithmic Songwriting with ALYSIA -- On Symmetry, Aesthetics and Quantifying Symmetrical Complexity -- Towards Polyphony Reconstruction Using Multidimensional Multiple Sequence Alignment -- Melody Retrieval and Classification Using Biologically-Inspired Techniques -- Evolved Aesthetic Analogies to Improve Artistic Experience -- Deep Artificial Composer: A Creative Neural Network Model for Automated Melody Generation -- A Kind of Bio-inspired Learning of mUsic stylE -- Using Autonomous Agents to Improvise Music Compositions in Real-time -- Generating Polyphonic Music Using Tied Parallel Networks -- Mixed-initiative Creative Drawing with webIconoscope -- Clustering Agents for the Evolution of Autonomous Musical Fitness -- EvoFashion: Customising Fashion Through Evolution -- A Swarm Environment for Experimental Performance and Improvisation -- Niche Constructing Drawing Robots -- Automated Shape Design by Grammatical Evolution -- Evolutionary Image Transition Using Random Walks -- Evaluation Rules for Evolutionary Generation of Drum Patterns in Jazz Solos -- Assessing Augmented Creativity: Putting a Lovelace Machine for Interactive Title Generation through a Human Creativity Test -- Play It again: Evolved Audio Effects and Synthesizer Programming -- Fashion Design Aid System with Application of Interactive Genetic Algorithms -- Generalization Performance of Western Instrument Recognition Models in Polyphonic Mixtures with Ethnic Samples -- Exploring the Exactitudes Portrait Series with Restricted Boltzmann Machines -- Evolving Mondrian-Style Artworks -- Predicting Expressive Bow Controls for Violin and Viola. . 330 $aThis book constitutes the refereed proceedings of the 6th International Conference on Evolutionary Computation in Combinatorial Optimization, EvoMUSART 2017, held in Amsterdam, The Netherlands, in April 2017, co-located with the Evo*2017 events EuroGP, EvoCOP and EvoApplications. The 24 revised full papers presented were carefully reviewed and selected from 29 submissions. The papers cover a wide range of topics and application areas, including: generative approaches to music, graphics, game content, and narrative; music information retrieval; computational aesthetics; the mechanics of interactive evolutionary computation; computer-aided design; and the art theory of evolutionary computation. . 410 0$aTheoretical Computer Science and General Issues,$x2512-2029 ;$v10198 606 $aAlgorithms 606 $aData mining 606 $aArtificial intelligence 606 $aComputer vision 606 $aComputer science?Mathematics 606 $aMathematical statistics 606 $aDigital humanities 606 $aAlgorithms 606 $aData Mining and Knowledge Discovery 606 $aArtificial Intelligence 606 $aComputer Vision 606 $aProbability and Statistics in Computer Science 606 $aDigital Humanities 615 0$aAlgorithms. 615 0$aData mining. 615 0$aArtificial intelligence. 615 0$aComputer vision. 615 0$aComputer science?Mathematics. 615 0$aMathematical statistics. 615 0$aDigital humanities. 615 14$aAlgorithms. 615 24$aData Mining and Knowledge Discovery. 615 24$aArtificial Intelligence. 615 24$aComputer Vision. 615 24$aProbability and Statistics in Computer Science. 615 24$aDigital Humanities. 676 $a005.11 702 $aCorreia$b Joćo$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aCiesielski$b Vic$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aLiapis$b Antonios$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910484653603321 996 $aComputational Intelligence in Music, Sound, Art and Design$92273126 997 $aUNINA