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[null,"1.","Record Nr.",null,"UNINA9910462686103321"]
[null,null,"Autore",null,"Goodstein Phyllis Kaufman"]
[null,null,"Titolo",null,"How to stop bullying in classrooms and schools : using social architecture to prevent, lessen, and end bullying / / Phyllis Kaufman Goodstein"]
[null,null,"Pubbl/distr/stampa",null,"New York : , : Routledge, , 2013"]
[null,null,"ISBN",null,"0-203-09793-9"]
[{"$nulls":4},"1-299-16091-3"]
[{"$nulls":4},"1-136-22483-1"]
[null,null,"Descrizione fisica",null,"1 online resource (265 p.)"]
[null,null,"Disciplina",null,"371.78"]
[null,null,"Soggetti",null,"Bullying in schools - Prevention"]
[{"$nulls":4},"Bullying - Prevention"]
[{"$nulls":4},"Classroom management"]
[{"$nulls":4},"Electronic books."]
[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 (p. 217-235) and index."]
[null,null,"Nota di contenuto",null,"pt. 1. The 5 Ws : who, what, when, where, and why -- pt. 2. Using social architecture to prevent, lessen, and end bullying."]
[null,null,null,"Sommario/riassunto","The premise of this guidebook for teacher educators, school professionals, and in-service and pre-service teachers is that bullying occurs because of breakdowns in relationships. The focus of the 10-point empirically researched anti-bullying program it presents is based on building and repairing relationships. Explaining how to use social architecture to erase bullying from classrooms, this book translates research into easily understandable language provides a step-by-step plan and the tools (classroom exercises, activities, practical strategies)"]
[null,"2.","Record Nr.",null,"UNINA9910557553903321"]
[null,null,"Autore",null,"Xibilia Maria Gabriella"]
[null,null,"Titolo",null,"Innovative Topologies and Algorithms for Neural Networks"]
[null,null,"Pubbl/distr/stampa",null,"Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021"]
[null,null,"Descrizione fisica",null,"1 online resource (198 p.)"]
[null,null,"Soggetti",null,"Information technology industries"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Sommario/riassunto","The introduction of new topologies and training procedures to deep neural networks has solicited a renewed interest in the field of neural computation. The use of deep structures has significantly improved state-of-the-art applications in many fields, such as computer vision, speech and text processing, medical applications, and IoT (Internet of Things). The probability of a successful outcome from a neural network is linked to selection of an appropriate network architecture and training algorithm. Accordingly, much of the recent research on neural networks has been devoted to the study and proposal of novel architectures, including solutions tailored to specific problems. This book gives significant contributions to the above-mentioned fields by merging theoretical aspects and relevant applications."]