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[null,"1.","Record Nr.",null,"UNINA9910806951603321"]
[null,null,"Autore",null,"Moyers Tony L."]
[null,null,"Titolo",null,"Reading responsibly : a basic guide to Biblical interpretation / / Tony L. Moyers"]
[null,null,"Pubbl/distr/stampa",null,"Lanham, Maryland : , : University Press of America, Inc., , 2016"]
[{"$nulls":4},"©2016"]
[null,null,"ISBN",null,"0-7618-6718-X"]
[null,null,"Descrizione fisica",null,"1 online resource (262 p.)"]
[null,null,"Disciplina",null,"220.6"]
[null,null,"Soggetti",null,"RELIGION / Christian Theology / Ethics"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Description based upon print version of record."]
[null,null,"Nota di contenuto",null,"Contents; Preface; Introduction; 1 The Bible and Its Interpreters; 2 Understanding the Bible Historically; 3 A Brief History of Biblical Times; 4 Basic Historical Approach; 5 Introduction to the Historical Critical Methods; 6 Source Criticism; 7 Form Criticism; 8 Redaction Criticism; 9 Sociological Studies of Biblical Texts; 10 Historical Versus Literary Readings; 11 The Basic Literary Approach; 12 Narrative Criticism; 13 Postmodern Approaches; 14 Rhetorical Criticism; 15 Reader Response; 16 Deconstruction; 17 Ideological Approaches; 18 Theopoetics and the Renewing Power of Metaphor"]
[{"$nulls":4},"19 Reading Responsibly"]
[null,null,null,"Sommario/riassunto","This book introduces, explains, and guides students in the understanding and application of particular methods commonly used by biblical scholars in the study of the Bible, focusing on two key areas: methods and ethics of interpretation."]
[null,"2.","Record Nr.",null,"UNINA9910963198603321"]
[null,null,"Titolo",null,"Semi-supervised learning / / [edited by] Olivier Chapelle, Bernhard Schölkopf, Alexander Zien"]
[null,null,"Pubbl/distr/stampa",null,"Cambridge, Mass., : MIT Press, c2006"]
[null,null,"ISBN",null,"1-282-09618-4"]
[{"$nulls":4},"0-262-25589-8"]
[{"$nulls":4},"1-4294-1408-1"]
[null,null,"Edizione",null,"[1st ed.]"]
[null,null,"Descrizione fisica",null,"1 online resource (528 p.)"]
[null,null,"Collana",null,"Adaptive computation and machine learning"]
[null,null,"Disciplina",null,"006.3/1"]
[null,null,"Soggetti",null,"Supervised learning (Machine learning)"]
[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. [479]-497)."]
[null,null,"Nota di contenuto",null,"Contents; Series Foreword; Preface; 1 - Introduction to Semi-Supervised Learning; 2 - A Taxonomy for Semi-Supervised Learning Methods; 3 - Semi-Supervised Text Classification Using EM; 4 - Risks of Semi-Supervised Learning: How Unlabeled Data Can Degrade Performance of Generative Classifiers; 5 - Probabilistic Semi-Supervised Clustering with Constraints; 6 - Transductive Support Vector Machines; 7 - Semi-Supervised Learning Using Semi- Definite Programming; 8 - Gaussian Processes and the Null-Category Noise Model; 9 - Entropy Regularization; 10 - Data-Dependent Regularization"]
[{"$nulls":4},"11 - Label Propagation and Quadratic Criterion12 - The Geometric Basis of Semi-Supervised Learning; 13 - Discrete Regularization; 14 - Semi-Supervised Learning with Conditional Harmonic Mixing; 15 - Graph Kernels by Spectral Transforms; 16-  Spectral Methods for Dimensionality Reduction; 17 - Modifying Distances; 18 - Large-Scale Algorithms; 19 - Semi-Supervised Protein Classification Using Cluster Kernels; 20 - Prediction of Protein Function from Networks; 21 - Analysis of Benchmarks; 22 - An Augmented PAC Model for Semi- Supervised Learning"]
[{"$nulls":4},"23 - Metric-Based Approaches for Semi- Supervised Regression and Classification24 - Transductive Inference and Semi-Supervised Learning; 25 - A Discussion of Semi-Supervised Learning and Transduction; References; Notation and Symbols; Contributors; Index"]
[null,null,null,"Sommario/riassunto","A comprehensive review of an area of machine learning that deals with the use of unlabeled data in classification problems, this text looks at "]
[{"$nulls":4},"state-of-the-art algorithms, applications benchmark experiments, and directions for future research."]