01469nam--2200385---450-99000297483020331620070919104242.092-825-6510-6000297483USA01000297483(ALEPH)000297483USA0100029748320070919d1986----km-y0itaa50------bafreLUy---z---001yyInventaire des impôtsau profit de l'Etat et des collectivités locales (Länder, départements, régions, districts, provinces, communes )Commission des Communautés européennes, Direction générale institutions financières et fiscalité, Direction fiscalitéLuxembourgOffice des publications officielles des Communautés européennes1986XXX-643 p.25 cmDocument2001DocumentInventaire des impôts perçus dans les Etats membres des Communautés européennesDiritto tributarioPaesi della Comunità europeaImpostePaesi della Comunità europea343.40411.01TassazioneCOMMISSIONE EUROPEA :Direzione generale FiscalitàITsalbcISBD990002974830203316CDE 11.01 (III)CDE 931CDE 11.0100147835BKCDEMARIAS9020070919USA011042Inventaire des impôts1027454UNISA06008nam 22008415 450 99646577800331620200702112025.03-540-45355-510.1007/3-540-45355-5(CKB)1000000000211483(SSID)ssj0000323462(PQKBManifestationID)11242993(PQKBTitleCode)TC0000323462(PQKBWorkID)10300013(PQKB)10959890(DE-He213)978-3-540-45355-0(MiAaPQ)EBC3072002(PPN)15517813X(EXLCZ)99100000000021148320121227d2001 u| 0engurnn#008mamaatxtccrGenetic Programming[electronic resource] 4th European Conference, EuroGP 2001 Lake Como, Italy, April 18–20, 2001 Proceedings /edited by Julian F. Miller, Marco Tomassini, Pier Luca Lanzi, Conor Ryan, Andrea G.B. Tettamanzi, William B. Langdon1st ed. 2001.Berlin, Heidelberg :Springer Berlin Heidelberg :Imprint: Springer,2001.1 online resource (XI, 379 p. 233 illus., 61 illus. in color.)Lecture Notes in Computer Science,0302-9743 ;2038Bibliographic Level Mode of Issuance: Monograph3-540-41899-7 Includes bibliographical references and indexes.Talks -- Heuristic Learning Based on Genetic Programming -- Evolving Color Constancy for an Artificial Retina -- Adaptive Genetic Programming Applied to New and Existing Simple Regression Problems -- An Evolutionary Approach to Automatic Generation of VHDL Code for Low-Power Digital Filters -- Studying the Influence of Communication Topology and Migration on Distributed Genetic Programming -- CAGE: A Tool for Parallel Genetic Programming Applications -- Ripple Crossover in Genetic Programming -- Evolving Receiver Operating Characteristics for Data Fusion -- An Adaptive Mapping for Developmental Genetic Programming -- A Schema Theory Analysis of the Evolution of Size in Genetic Programming with Linear Representations -- Exact Schema Theorems for GP with One-Point and Standard Crossover Operating on Linear Structures and Their Application to the Study of the Evolution of Size -- General Schema Theory for Genetic Programming with Subtree-Swapping Crossover -- Evolving Modules in Genetic Programming by Subtree Encapsulation -- Evolution of Affine Transformations and Iterated Function Systems Using Hierarchical Evolution Strategy -- Evolving Turing Machines for Biosequence Recognition and Analysis -- Neutrality and the Evolvability of Boolean Function Landscape -- Polymorphism and Genetic Programming -- Posters -- Programmable Smart Membranes: Using Genetic Programming to Evolve Scalable Distributed Controllers for a Novel Self-Reconfigurable Modular Robotic Application -- A GP Artificial Ant for image processing: preliminary experiments with EASEA. -- Feature Extraction for the k-Nearest Neighbour Classifier with Genetic Programming -- An Indirect Block-Oriented Representation for Genetic Programming -- Raising the Dead: Extending Evolutionary Algorithms with a Case-Based Memory -- Layered Learning in Genetic Programming for a Cooperative Robot Soccer Problem -- Linear-Tree GP and Its Comparison with Other GP Structures -- Evolving Hand-Eye Coordination for a Humanoid Robot with Machine Code Genetic Programming -- Adaption of Operator Probabilities in Genetic Programming -- Crossover in Grammatical Evolution: The Search Continues -- Computational Complexity, Genetic Programming, and Implications -- Genetic Programming for Financial Time Series Prediction -- Active Handwritten Character Recognition Using Genetic Programming.Lecture Notes in Computer Science,0302-9743 ;2038Software engineeringArtificial intelligenceComputersComputer programmingAlgorithmsPattern recognitionSoftware Engineering/Programming and Operating Systemshttps://scigraph.springernature.com/ontologies/product-market-codes/I14002Artificial Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/I21000Computation by Abstract Deviceshttps://scigraph.springernature.com/ontologies/product-market-codes/I16013Programming Techniqueshttps://scigraph.springernature.com/ontologies/product-market-codes/I14010Algorithm Analysis and Problem Complexityhttps://scigraph.springernature.com/ontologies/product-market-codes/I16021Pattern Recognitionhttps://scigraph.springernature.com/ontologies/product-market-codes/I2203XSoftware engineering.Artificial intelligence.Computers.Computer programming.Algorithms.Pattern recognition.Software Engineering/Programming and Operating Systems.Artificial Intelligence.Computation by Abstract Devices.Programming Techniques.Algorithm Analysis and Problem Complexity.Pattern Recognition.006.3/1Miller Julian Fedthttp://id.loc.gov/vocabulary/relators/edtTomassini Marcoedthttp://id.loc.gov/vocabulary/relators/edtLanzi Pier Lucaedthttp://id.loc.gov/vocabulary/relators/edtRyan Conoredthttp://id.loc.gov/vocabulary/relators/edtTettamanzi Andrea G.Bedthttp://id.loc.gov/vocabulary/relators/edtLangdon William Bedthttp://id.loc.gov/vocabulary/relators/edtMiAaPQMiAaPQMiAaPQBOOK996465778003316Genetic Programming772374UNISA