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[null,"1.","Record Nr.",null,"UNINA9910454609503321"]
[null,null,"Autore",null,"Johnson Roger"]
[null,null,"Titolo",null,"Reducing School Violence Through Conflict Resolution"]
[null,null,"Pubbl/distr/stampa",null,", : Association for Supervision & Curriculum Development, , 1995"]
[{"$nulls":4},"©1995"]
[null,null,"ISBN",null,"1-4166-0415-4"]
[{"$nulls":4},"1-280-92819-0"]
[{"$nulls":4},"9786610928194"]
[{"$nulls":4},"0-87120-252-2"]
[null,null,"Descrizione fisica",null,"1 online resource (viii, 119 pages) : illustrations"]
[null,null,"Disciplina",null,"823"]
[null,null,"Soggetti",null,"School violence - United States - Prevention"]
[{"$nulls":4},"Conflict management - United States"]
[{"$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,"Nota di contenuto",null,"Cover -- Title Page -- Copyright -- Table of Contents -- Foreword -- Preface -- Chapter 1: Increasing Violence: A Concern for Schools -- Chapter 2: Violence Prevention -- Chapter 3: Schools as Conflict Positive Organizations -- Chapter 4: Conflict Resolution -- Chapter 5: Creating a Cooperative Context -- Chapter 6: Two Basic Concerns in a Conflict -- Chapter 7: Teaching Students to Negotiate -- Chapter 8: Mediating Conflicts Among Students -- Chapter 9: When All Else Fails, Arbitrate -- Chapter 10: Implementing Conflict Resolution/Peer Mediation Training -- Chapter 11: Using Academic Controversy to Enhance Learning -- References -- Search this Book."]
[null,null,null,"Sommario/riassunto","In this book, David and Roger Johnson offer an approach that involves interrelated programs for preventing violence and helping students learn to resolve conflicts constructively. The authors discuss how schools can create a cooperative learning environment where students learn how to negotiate and mediate peer conflicts and teachers use academic controversies to enhance learning."]
[null,"2.","Record Nr.",null,"UNISA996418174703316"]
[null,null,"Autore",null,"Zhao Haitao"]
[null,null,"Titolo",null,"Feature Learning and Understanding [[electronic resource] ] : Algorithms and Applications / / by Haitao Zhao, Zhihui Lai, Henry Leung, Xianyi Zhang"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020"]
[null,null,"ISBN",null,"3-030-40794-2"]
[null,null,"Edizione",null,"[1st ed. 2020.]"]
[null,null,"Descrizione fisica",null,"1 online resource (XIV, 291 p. 126 illus., 109 illus. in color.)"]
[null,null,"Collana",null,"Information Fusion and Data Science, , 2510-1528"]
[null,null,"Disciplina",null,"006.31"]
[null,null,"Soggetti",null,"Sociophysics"]
[{"$nulls":4},"Econophysics"]
[{"$nulls":4},"Machine learning"]
[{"$nulls":4},"Computational intelligence"]
[{"$nulls":4},"Pattern recognition"]
[{"$nulls":4},"Signal processing"]
[{"$nulls":4},"Image processing"]
[{"$nulls":4},"Speech processing systems"]
[{"$nulls":4},"Optical data processing"]
[{"$nulls":4},"Data-driven Science, Modeling and Theory Building"]
[{"$nulls":4},"Machine Learning"]
[{"$nulls":4},"Computational Intelligence"]
[{"$nulls":4},"Pattern Recognition"]
[{"$nulls":4},"Signal, Image and Speech Processing"]
[{"$nulls":4},"Image Processing and Computer Vision"]
[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,"Chapter1. A Gentle Introduction to Feature Learning -- Chapter2. Latent Semantic Feature Learning -- Chapter3. Principal Component Analysis -- Chapter4. Local-Geometrical-Structure-based Feature Learning -- Chapter5. Linear Discriminant Analysis -- Chapter6. Kernel-based nonlinear feature learning -- Chapter7. Sparse feature learning -- Chapter8. Low rank feature learning -- Chapter9. Tensor-based Feature Learning -- Chapter10. Neural-network-based Feature Learning: Autoencoder -- Chapter11. Neural-network-based Feature Learning: Convolutional Neural Network -- Chapter12. Neural-"]
[{"$nulls":4},"network-based Feature Learning: Recurrent Neural Network."]
[null,null,null,"Sommario/riassunto","This book covers the essential concepts and strategies within traditional and cutting-edge feature learning methods thru both theoretical analysis and case studies. Good features give good models and it is usually not classifiers but features that determine the effectiveness of a model. In this book, readers can find not only traditional feature learning methods, such as principal component analysis, linear discriminant analysis, and geometrical-structure-based methods, but also advanced feature learning methods, such as sparse learning, low-rank decomposition, tensor-based feature extraction, and deep-learning-based feature learning. Each feature learning method has its own dedicated chapter that explains how it is theoretically derived and shows how it is implemented for real-world applications. Detailed illustrated figures are included for better understanding. This book can be used by students, researchers, and engineers looking for a reference guide for popular methods of feature learning and machine intelligence."]