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[null,"1.","Record Nr.",null,"UNISA990003696330203316"]
[null,null,"Autore",null,"BUFFONI, Francesco"]
[null,null,"Titolo",null,"Il libro del riparatore e del tecnico dell'autoveicolo con motore a scoppio e con motore diesel : difetti di funzionamento e riparazioni relative ... : descrizione tecnica di tutti gli autoveicoli, nazionali ed esteri, noti in italia con particolare trattazione della vettura Americana «jeep»"]
[null,null,"Pubbl/distr/stampa",null,"Milano : Hoepli, 1954"]
[null,null,"Edizione",null,"[2. ed. aggiornata e aumentata]"]
[null,null,"Descrizione fisica",null,"XXIV, 894 p. : ill. ; 25 cm"]
[null,null,"Disciplina",null,"629.287"]
[null,null,"Soggetti",null,"Autoveicoli - Manutenzione"]
[null,null,"Collocazione",null,"629.287 BUF 1"]
[null,null,"Lingua di pubblicazione",null,"Italiano"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,"2.","Record Nr.",null,"UNINA9910710900703321"]
[null,null,"Autore",null,"Di Ponzio, Nicola"]
[null,null,"Titolo",null,"Per una riforma del processo penale canonico : la prospettiva del promotore di giustizia / Nicola di Ponzio ; prefazione di mons. Carlo Fabris"]
[null,null,"Pubbl/distr/stampa",null,"Assisi, : Cittadella, 2019"]
[null,null,"ISBN",null,"978-88-308-1677-0"]
[null,null,"Descrizione fisica",null,"252 p. ; 21 cm"]
[null,null,"Collana",null,"Studi e ricerche. Sezione teologica"]
[null,null,"Disciplina",null,"262.946"]
[null,null,"Locazione",null,"FGBC"]
[null,null,"Collocazione",null,"III I 130"]
[null,null,"Lingua di pubblicazione",null,"Italiano"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,"3.","Record Nr.",null,"UNINA9910141795503321"]
[null,null,"Autore",null,"Bainton Nicholas A."]
[null,null,"Titolo",null,"The Lihir destiny : cultural responses to mining in Melanesia / / Nicholas A. Bainton"]
[null,null,"Pubbl/distr/stampa",null,"Canberra, Australian Capital Territory : , : Australian National University E Press, , 2010"]
[null,null,"ISBN",null,"1-921666-84-6"]
[null,null,"Descrizione fisica",null,"1 online resource (254 pages) : illustrations (some colour); digital file(s)"]
[null,null,"Collana",null,"Asia-Pacific Environment Monographs ; ; 5"]
[null,null,"Disciplina",null,"995.0049912"]
[null,null,"Soggetti",null,"Papuans - Social life and customs"]
[{"$nulls":4},"Lihirians - Social life and customs"]
[{"$nulls":4},"Lihir (Papua New Guinean people) - Social life and customs"]
[{"$nulls":4},"Mineral industries - Social aspects - Papua New Guinea - Lihir Islands"]
[{"$nulls":4},"Lihir Islands (Papua New Guinea) Social life and customs"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Bibliographic Level Mode of Issuance: Monograph"]
[null,null,null,"Nota di bibliografia","Includes bibliographical references."]
[null,null,null,"Sommario/riassunto","The people of the Lihir Islands in Papua New Guinea have long held visions of a prosperous new future, often referred to by local leaders as the ‘Lihir Destiny’. When large-scale gold mining activities commenced on the main island of Lihir in 1995, many hoped that this new world had finally arrived. The Lihir Destiny provides a nuanced account of the social structural and cultural transformations engendered by large-scale resource extraction. Tracing the history of Lihirian engagement with outside forces, from the colonial period through to recent mining activities, this book brings new light to bear on the bigger question of what ‘development’ means in contemporary Melanesia. The Lihir Destiny explores how Lihirian leaders devised future plans for a cultural revolution based upon the maximisation of mining activities and the influential philosophies of the Personal Viability movement. However, reaching the ‘Lihir Destiny’ is no simple affair, and many Lihirians find themselves negotiating divergent formulations of culture, sociality and economic engagement. The Lihir Destiny will appeal to readers interested in the social impacts of large-scale resource development, the processes of cultural continuity and change and the ways in which modernity is configured in local terms."]
[null,"4.","Record Nr.",null,"UNINA9910492147403321"]
[null,null,"Autore",null,"Lavrač Nada"]
[null,null,"Titolo",null,"Representation Learning : Propositionalization and Embeddings / / by Nada Lavrač, Vid Podpečan, Marko Robnik-Šikonja"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021"]
[null,null,"ISBN",null,"3-030-68817-8"]
[null,null,"Edizione",null,"[1st ed. 2021.]"]
[null,null,"Descrizione fisica",null,"1 online resource (175 pages)"]
[null,null,"Disciplina",null,"006.31"]
[null,null,"Soggetti",null,"Data mining"]
[{"$nulls":4},"Artificial intelligence - Data processing"]
[{"$nulls":4},"Numerical analysis"]
[{"$nulls":4},"Data Mining and Knowledge Discovery"]
[{"$nulls":4},"Data Science"]
[{"$nulls":4},"Numerical Analysis"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,"Nota di contenuto",null,"Introduction to Representation Learning -- Machine Learning Background -- Text Embeddings -- Propositionalization of Relational Data -- Graph and Heterogeneous Network Transformations -- Unified Representation Learning Approaches -- Many Faces of Representation Learning."]
[null,null,null,"Sommario/riassunto","This monograph addresses advances in representation learning, a cutting-edge research area of machine learning. Representation learning refers to modern data transformation techniques that convert data of different modalities and complexity, including texts, graphs, and relations, into compact tabular representations, which effectively capture their semantic properties and relations. The monograph focuses on (i) propositionalization approaches, established in relational learning and inductive logic programming, and (ii) embedding approaches, which have gained popularity with recent advances in deep learning. The authors establish a unifying perspective on representation learning techniques developed in these various areas of modern data science, enabling the reader to understand the common underlying principles and to gain insight using selected examples and sample Python code. The monograph should be of interest to a wide audience, ranging from data scientists, machine learning researchers "]
[{"$nulls":4},"and students to developers, software engineers and industrial researchers interested in hands-on AI solutions."]