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[null,"1.","Record Nr.",null,"UNINA9910821296003321"]
[null,null,"Autore",null,"Lillard Angeline Stoll"]
[null,null,"Titolo",null,"Montessori : the science behind the genius / / Angeline Stoll Lillard ; [photographs by An Vu]"]
[null,null,"Pubbl/distr/stampa",null,"New York : , : Oxford University Press, , [2017]"]
[{"$nulls":4},"©2017"]
[null,null,"ISBN",null,"0-19-998153-1"]
[null,null,"Edizione",null,"[Third edition.]"]
[null,null,"Descrizione fisica",null,"1 online resource (497 pages) : illustrations"]
[null,null,"Disciplina",null,"371.39/2"]
[null,null,"Soggetti",null,"Montessori method of education - United States"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","\"Translated from the Italian by Claude A. Claremont\"--Title page verso."]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,"Nota di contenuto",null,"An answer to the crisis in education -- The impact of movement on learning and cognition -- Choice and perceived control -- Executive function -- Interest in human learning -- Extrinsic rewards and motivation -- Learning from peers -- Meaningful contexts for learning -- Adult interaction styles and child outcomes -- Order in environment and mind -- Research on Montessori outcomes -- Education for children."]
[null,"2.","Record Nr.",null,"UNINA9910483724303321"]
[null,null,"Titolo",null,"Mining Intelligence and Knowledge Exploration : Second International Conference, MIKE 2014, Cork, Ireland, December 10-12, 2014. Proceedings / / edited by Rajendra Prasath, Philip O'Reilly, T. Kathirvalavakumar"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014"]
[null,null,"ISBN",null,"3-319-13817-0"]
[null,null,"Edizione",null,"[1st ed. 2014.]"]
[null,null,"Descrizione fisica",null,"1 online resource (XIV, 426 p. 117 illus.)"]
[null,null,"Collana",null,"Lecture Notes in Artificial Intelligence, , 2945-9141 ; ; 8891"]
[null,null,"Disciplina",null,"006.3"]
[null,null,"Soggetti",null,"Artificial intelligence"]
[{"$nulls":4},"Data mining"]
[{"$nulls":4},"Information storage and retrieval systems"]
[{"$nulls":4},"Application software"]
[{"$nulls":4},"Image processing - Digital techniques"]
[{"$nulls":4},"Computer vision"]
[{"$nulls":4},"Artificial Intelligence"]
[{"$nulls":4},"Data Mining and Knowledge Discovery"]
[{"$nulls":4},"Information Storage and Retrieval"]
[{"$nulls":4},"Computer and Information Systems Applications"]
[{"$nulls":4},"Computer Imaging, Vision, Pattern Recognition and Graphics"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Bibliographic Level Mode of Issuance: Monograph"]
[null,null,"Nota di contenuto",null,"An Effective Term-ranking Function for Query Expansion Based on Information Foraging Assessment -- Using Multi-armed Bandit to Solve Cold-start Problems in Recommender Systems at Telco -- An Improved Collaborative Filtering Model Based on Rough Set -- Learning to Rank for Personalized Fashion Recommender Systems via Implicit Feedback -- Convergence Problem in GMM related Robot Learning from Demonstration: Hybridization of Ensemble Kalman Filter and Non-linear Auto-regressive Neural Network for Financial Forecasting -- Forecast of Traffic Accidents Based on Components Extraction and a Neural Network with Levenberg-Marquardt -- Top-k Parametrized Boost -- Unsupervised Feature Learning for Human Activity Recognition Using Smartphone Sensors -- Influence of Weak Labels for Emotion "]
[{"$nulls":4},"Recognition of Tweets -- Focused Information Retrieval & English Language Instruction: A New Text Complexity Algorithm for Automatic Text Classification."]
[null,null,null,"Sommario/riassunto","This book constitutes the proceedings of the Second International Conference on Mining Intelligence and Knowledge Exploration, MIKE 2014, held in Cork, Ireland, in December 2014. The 40 papers presented were carefully reviewed and selected from 69 submissions. The papers cover topics such as information retrieval, feature selection, classification, clustering, image processing, network security, speech processing, machine learning, recommender systems, natural language processing, language, cognition and computation, and business intelligence."]