01906nam0 22003371i 450 SUN002702120110210021717.84688-16-40553-820041102d2001 |0itac50 baitaIT|||| |||||Archeologia industrialearchitettura, lavoro, tecnologia, economia e la vera rivoluzione industrialeEugenio Battistia cura di Francesco Maria Battistiprefazione di Paolo Galluzzicon contributi di Aldo Castellano, Ornella SelvafoltaMilanoJaca book2001357 p.ill.23 cm.001SUN00040452001 Di fronte e attraverso553210 MilanoJaca book.MilanoSUNL000284Battisti, Eugenio1924-1989SUNV02251734360Castellano, AldoSUNV022519Battisti, Francesco M.SUNV022520Jaca bookSUNV000040650Battisti, Francesco MariaBattisti, Francesco M.SUNV060070ITSOL20181109RICAhttp://books.google.it/books?id=3WDsdPXUCG8C&printsec=frontcover&dq=archeologia&hl=it&ei=FOVTTcjCE4qo8AOrveWnCA&sa=X&oi=book_result&ct=result&resnum=5&ved=0CD4Q6AEwBDgK#v=onepage&q&f=falseSUN0027021BIBLIOTECA DEL DIPARTIMENTO DI ARCHITETTURA E DISEGNO INDUSTRIALE01 PREST IBa75(20) 01 27530 UFFICIO DI BIBLIOTECA DEI DIPARTIMENTI DI INGEGNERIA05 CONS F II 215 05 3713 BIBLIOTECA DEL DIPARTIMENTO DI ARCHITETTURA E DISEGNO INDUSTRIALEIT-CE010727530PREST IBa75(20)paUFFICIO DI BIBLIOTECA DEI DIPARTIMENTI DI INGEGNERIAIT-CE01003713CONS F II 215caArcheologia industriale347719UNICAMPANIA02438oam 2200589M 450 991071623740332120200213070518.6(CKB)5470000002519753(OCoLC)1065802007(OCoLC)995470000002519753(EXLCZ)99547000000251975320071213d1926 ua 0engurcn|||||||||txtrdacontentcrdamediacrrdacarrierMetropolitan police and fire departments, District of Columbia. Communication from the President of the United States, transmitting supplemental estimate of appropriation for the District of Columbia for the fiscal year ending June 30, 1927, $ 165,525 ; also a proposed authorization affecting an existing appropriation. June 7, 1926. -- Referred to the Committee on Appropriations and ordered to be printed[Washington, D.C.] :[U.S. Government Printing Office],1926.1 online resource (2 pages)House document / 69th Congress, 1st session. House ;no. 419[United States congressional serial set ] ;[serial no. 8579]Batch processed record: Metadata reviewed, not verified. Some fields updated by batch processes.FDLP item number not assigned.Eminent domainRoadsDesign and constructionRoadsStreetsUniformsFire fightersPoliceCostLegislative materials.lcgftEminent domain.RoadsDesign and construction.Roads.Streets.Uniforms.Fire fighters.Police.Cost.Coolidge Calvin1872-1933.1386178United States.President (1923-1929 : Coolidge)United States.Department of the Treasury.Bureau of the Budget (1921-1939)WYUWYUOCLCOOCLCQBOOK9910716237403321Metropolitan police and fire departments, District of Columbia. Communication from the President of the United States, transmitting supplemental estimate of appropriation for the District of Columbia for the fiscal year ending June 30, 19273460833UNINA06257nam 22008175 450 991014388310332120200706010232.03-540-36468-410.1007/3-540-36468-4(CKB)1000000000211917(SSID)ssj0000323941(PQKBManifestationID)11912656(PQKBTitleCode)TC0000323941(PQKBWorkID)10304165(PQKB)10660474(DE-He213)978-3-540-36468-9(MiAaPQ)EBC3072455(PPN)155207547(EXLCZ)99100000000021191720121227d2003 u| 0engurnn|008mamaatxtccrInductive Logic Programming 12th International Conference, ILP 2002, Sydney, Australia, July 9-11, 2002. Revised Papers /edited by Stan Matwin, Claude Sammut1st ed. 2003.Berlin, Heidelberg :Springer Berlin Heidelberg :Imprint: Springer,2003.1 online resource (X, 358 p.) Lecture Notes in Artificial Intelligence ;2583Bibliographic Level Mode of Issuance: Monograph3-540-00567-6 Includes bibliographical references and index.Contributed Papers -- Propositionalization for Clustering Symbolic Relational Descriptions -- Efficient and Effective Induction of First Order Decision Lists -- Learning with Feature Description Logics -- An Empirical Evaluation of Bagging in Inductive Logic Programming -- Kernels for Structured Data -- Experimental Comparison of Graph-Based Relational Concept Learning with Inductive Logic Programming Systems -- Autocorrelation and Linkage Cause Bias in Evaluation of Relational Learners -- Learnability of Description Logic Programs -- 1BC2: A True First-Order Bayesian Classifier -- RSD: Relational Subgroup Discovery through First-Order Feature Construction -- Mining Frequent Logical Sequences with SPIRIT-LoG -- Using Theory Completion to Learn a Robot Navigation Control Program -- Learning Structure and Parameters of Stochastic Logic Programs -- A Novel Approach to Machine Discovery: Genetic Programming and Stochastic Grammars -- Revision of First-Order Bayesian Classifiers -- The Applicability to ILP of Results Concerning the Ordering of Binomial Populations -- Compact Representation of Knowledge Bases in ILP -- A Polynomial Time Matching Algorithm of Structured Ordered Tree Patterns for Data Mining from Semistructured Data -- A Genetic Algorithms Approach to ILP -- Experimental Investigation of Pruning Methods for Relational Pattern Discovery -- Noise-Resistant Incremental Relational Learning Using Possible Worlds -- Lattice-Search Runtime Distributions May Be Heavy-Tailed -- Invited Talk Abstracts -- Learning in Rich Representations: Inductive Logic Programming and Computational Scientific Discovery.The Twelfth International Conference on Inductive Logic Programming was held in Sydney, Australia, July 9–11, 2002. The conference was colocated with two other events, the Nineteenth International Conference on Machine Learning (ICML2002) and the Fifteenth Annual Conference on Computational Learning Theory (COLT2002). Startedin1991,InductiveLogicProgrammingistheleadingannualforumfor researchers working in Inductive Logic Programming and Relational Learning. Continuing a series of international conferences devoted to Inductive Logic Programming and Relational Learning, ILP 2002 was the central event in 2002 for researchers interested in learning relational knowledge from examples. The Program Committee, following a resolution of the Community Me- ing in Strasbourg in September 2001, took upon itself the issue of the possible change of the name of the conference. Following an extended e-mail discussion, a number of proposed names were subjected to a vote. In the ?rst stage of the vote, two names were retained for the second vote. The two names were: Ind- tive Logic Programming, and Relational Learning. It had been decided that a 60% vote would be needed to change the name; the result of the vote was 57% in favor of the name Relational Learning. Consequently, the name Inductive Logic Programming was kept.Lecture Notes in Artificial Intelligence ;2583Software engineeringArtificial intelligenceComputer scienceComputer programmingAlgorithmsLogic, Symbolic and mathematicalSoftware Engineering/Programming and Operating Systemshttps://scigraph.springernature.com/ontologies/product-market-codes/I14002Artificial Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/I21000Computer Science, generalhttps://scigraph.springernature.com/ontologies/product-market-codes/I00001Programming Techniqueshttps://scigraph.springernature.com/ontologies/product-market-codes/I14010Algorithm Analysis and Problem Complexityhttps://scigraph.springernature.com/ontologies/product-market-codes/I16021Mathematical Logic and Formal Languageshttps://scigraph.springernature.com/ontologies/product-market-codes/I16048Software engineering.Artificial intelligence.Computer science.Computer programming.Algorithms.Logic, Symbolic and mathematical.Software Engineering/Programming and Operating Systems.Artificial Intelligence.Computer Science, general.Programming Techniques.Algorithm Analysis and Problem Complexity.Mathematical Logic and Formal Languages.005.1/15Matwin Stanedthttp://id.loc.gov/vocabulary/relators/edtSammut Claudeedthttp://id.loc.gov/vocabulary/relators/edtILP (Conference)MiAaPQMiAaPQMiAaPQBOOK9910143883103321Inductive Logic Programming2804417UNINA