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[null,"1.","Record Nr.",null,"UNINA990001433770403321"]
[null,null,"Autore",null,"Bernstein, Aron M."]
[null,null,"Titolo",null,"Chiral Dynamics: Theory and Experiment : Proceedings of the workshop held in Mainz, Germany, 1-5 September 1997 / Edited by Aron M. Bernstein, Dieter Drechsel, Thomas Walcher"]
[null,null,"Pubbl/distr/stampa",null,"Berlin [etc.] : Springer-Verlag, 1998"]
[null,null,"ISBN",null,"3-540-64716-3"]
[null,null,"Descrizione fisica",null,"ix, 394 p. ; 24 cm"]
[null,null,"Collana",null,"Lecture notes in physics ; 513"]
[null,null,"Disciplina",null,"539.72539.73"]
[null,null,"Locazione",null,"FI1"]
[null,null,"Collocazione",null,"33-422.001"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,"2.","Record Nr.",null,"UNINA9910482800603321"]
[null,null,"Autore",null,"Palladius Peder <1503-1560.>"]
[null,null,"Titolo",null,"Brevis expositio catechismi pro parochis Noruegianis, per Petrum Palladium, cum præfacione Philippi Melanthonis [[electronic resource]]"]
[null,null,"Pubbl/distr/stampa",null,"Wittenberg, : Veit Kreutzer, 1552"]
[null,null,"Descrizione fisica",null,"Online resource ([68] bl.)"]
[null,null,"Lingua di pubblicazione",null,"Latino"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Reproduction of original in Det Kongelige Bibliotek / The Royal Library (Copenhagen)."]
[null,"3.","Record Nr.",null,"UNINA9910779279903321"]
[null,null,"Autore",null,"Herod Roger <1944->"]
[null,null,"Titolo",null,"Benchmarking international assignment programs [[electronic resource] ] : assessing overall effectiveness / / Roger Herod"]
[null,null,"Pubbl/distr/stampa",null,"Alexandria, Va., : Society for Human Resource Management, c2009"]
[null,null,"ISBN",null,"1-58644-304-6"]
[null,null,"Descrizione fisica",null,"1 online resource (37 p.)"]
[null,null,"Collana",null,"Global HR management series"]
[null,null,"Disciplina",null,"658.3/128"]
[null,null,"Soggetti",null,"International business enterprises - Personnel management"]
[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","Description based upon print version of record."]
[null,null,null,"Nota di bibliografia","Includes bibliographical references."]
[null,null,"Nota di contenuto",null,"Cover; About the Author; Copyright; Contents; About the Series; Introduction; External Benchmarking; Business Needs; Competitive Environment; Evaluating Policy Elements; Assignment Cost Comparisons; Developing Recommendations; Internal Benchmarking; Who Are the Customers?; What Are You Trying to Find Out, Anyway?; Survey Options; Using the Results; Value of Internal Surveys; Balancing External and Internal Survey Results; Get recognized around the world. Achieve the GPHR designation; Recommended SHRM Books"]
[null,null,null,"Sommario/riassunto","Addressing challenges such as updating outmoded international business policies, this resource values external and internal comparisons for achieving a comprehensive assessment of the overall effectiveness of their assignment programs-providing HR practitioners with an understanding of the issues involved. Tackling such challenges as managing employee growth and development internationally, this guidebook recommends benchmarking goals, creating uniform employee policies, and maintaining support services for foreign-office assignees and their families as a means to avoid demoralized satellite o"]
[null,"4.","Record Nr.",null,"UNINA9910734092803321"]
[null,null,"Autore",null,"Vanneschi Leonardo"]
[null,null,"Titolo",null,"Lectures on Intelligent Systems / / by Leonardo Vanneschi, Sara Silva"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023"]
[null,null,"ISBN",null,"9783031179228"]
[{"$nulls":4},"3031179226"]
[null,null,"Edizione",null,"[1st ed. 2023.]"]
[null,null,"Descrizione fisica",null,"1 online resource (352 pages)"]
[null,null,"Collana",null,"Natural Computing Series, , 2627-6461"]
[null,null,"Disciplina",null,"060"]
[{"$nulls":4},"006.3"]
[null,null,"Soggetti",null,"Artificial intelligence"]
[{"$nulls":4},"Artificial Intelligence"]
[{"$nulls":4},"Intel·ligència artificial"]
[{"$nulls":4},"Intel·ligència computacional"]
[{"$nulls":4},"Matemàtica"]
[{"$nulls":4},"Llibres electrònics"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Nota di bibliografia","Includes bibliographical references."]
[null,null,"Nota di contenuto",null,"Chapter 1: Introduction -- Chapter 2: Optimization Problems and Local Search -- Chapter 3: Genetic Algorithms -- Chapter 4: Particle Swarm Optimization -- Chapter 5: Introduction to Machine Learning -- Chapter 6: Decision Tree Learning -- Chapter 7: Artificial Neural Networks -- Chapter 8: Genetic Programming -- Bayesian Learning -- Chapter 10: Support Vector Machines -- Chapter 11: Ensemble Methods -- Chapter 12: Unsupervised Learning."]
[null,null,null,"Sommario/riassunto","This textbook provides the reader with an essential understanding of computational methods for intelligent systems. These are defined as systems that can solve problems autonomously, in particular problems where algorithmic solutions are inconceivable for humans or not practically executable by computers. Despite the rapidly growing applications in this field, the book avoids application details, instead focusing on computational methods that equip the reader with the methodological tools and competencies necessary to tackle current and future complex applications. The book consists of two parts: computational intelligence methods for optimization, and machine learning. Part I begins with the concept of optimization, and introduces "]
[{"$nulls":4},"local search algorithms, genetic algorithms, and particle swarm optimization. Part II begins with an introduction to machine learning and covers several methods, many of which can be used as supervised learning algorithms, such as decision tree learning, artificial neural networks, genetic programming, Bayesian learning, support vector machines, and ensemble methods, plus a discussion of unsupervised learning. This textbook is written in a self-contained style, suitable for undergraduate or graduate students in computer science and engineering, and for self-study by researchers and practitioners."]