Pattern classification using ensemble methods [[electronic resource] /] / Lior Rokach

• Record Nr.: UNINA9910455562503321
• Autore: Rokach Lior
• Pubbl/distr/stampa: Singapore ; ; Hackensack, NJ, : World Scientific, c2010
• ISBN: 1-282-75785-7; 9786612757853; 981-4271-07-1
• Descrizione fisica: 1 online resource (242 p.)
• Collana: Series in machine perception and artificial intelligence ; ; v. 75
• Disciplina: 621.389/28
• Soggetti: Pattern recognition systems; Algorithms; Machine learning; Electronic books.
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Description based upon print version of record.
• Nota di bibliografia: Includes bibliographical references (p. 185-222) and index.
• Nota di contenuto: Contents; Preface; 1. Introduction to Pattern Classification; 1.1 Pattern Classification; 1.2 Induction Algorithms; 1.3 Rule Induction; 1.4 Decision Trees; 1.5 Bayesian Methods; 1.5.1 Overview.; 1.5.2 Naıve Bayes; 1.5.2.1 The Basic Naıve Bayes Classifier; 1.5.2.2 Naıve Bayes Induction for Numeric Attributes; 1.5.2.3 Correction to the Probability Estimation; 1.5.2.4 Laplace Correction; 1.5.2.5 No Match; 1.5.3 Other Bayesian Methods; 1.6 Other Induction Methods; 1.6.1 Neural Networks; 1.6.2 Genetic Algorithms; 1.6.3 Instance-based Learning; 1.6.4 Support Vector Machines; 2. Introduction to Ensemble Learning 2.1 Back to the Roots; 2.2 The Wisdom of Crowds; 2.3 The Bagging Algorithm; 2.4 The Boosting Algorithm; 2.5 The Ada Boost Algorithm; 2.6 No Free Lunch Theorem and Ensemble Learning; 2.7 Bias-Variance Decomposition and Ensemble Learning; 2.8 Occam's Razor and Ensemble Learning; 2.9 Classifier Dependency; 2.9.1 Dependent Methods; 2.9.1.1 Model-guided Instance Selection; 2.9.1.2 Basic Boosting Algorithms; 2.9.1.3 Advanced Boosting Algorithms; 2.9.1.4 Incremental Batch Learning; 2.9.2 Independent Methods; 2.9.2.1 Bagging; 2.9.2.2 Wagging; 2.9.2.3 Random Forest and Random Subspace Projection 2.9.2.4 Non-Linear Boosting Projection (NLBP); 2.9.2.5 Cross-validated Committees; 2.9.2.6 Robust Boosting; 2.10 Ensemble Methods for Advanced Classification Tasks; 2.10.1 Cost-Sensitive Classification; 2.10.2 Ensemble for Learning Concept Drift; 2.10.3 Reject Driven Classification; 3. Ensemble Classification; 3.1 Fusions Methods; 3.1.1 Weighting Methods; 3.1.2 Majority Voting; 3.1.3 Performance Weighting; 3.1.4 Distribution Summation; 3.1.5 Bayesian Combination; 3.1.6 Dempster-Shafer; 3.1.7 Vogging; 3.1.8 Naıve Bayes; 3.1.9 Entropy Weighting 3.1.10 Density-based Weighting; 3.1.11 DEA Weighting Method; 3.1.12 Logarithmic Opinion Pool; 3.1.13 Order Statistics; 3.2 Selecting Classification; 3.2.1 Partitioning the Instance Space; 3.2.1.1 The K-Means Algorithm as a Decomposition Tool; 3.2.1.2 Determining the Number of Subsets; 3.2.1.3 The Basic K-Classifier Algorithm; 3.2.1.4 The Heterogeneity Detecting K-Classifier (HDK-Classifier); 3.2.1.5 Running-Time Complexity; 3.3 Mixture of Experts and Meta Learning; 3.3.1 Stacking; 3.3.2 Arbiter Trees; 3.3.3 Combiner Trees; 3.3.4 Grading; 3.3.5 Gating Network; 4. Ensemble Diversity 4.1 Overview; 4.2 Manipulating the Inducer; 4.2.1 Manipulation of the Inducer's Parameters; 4.2.2 Starting Point in Hypothesis Space; 4.2.3 Hypothesis Space Traversal; 4.3 Manipulating the Training Samples; 4.3.1 Resampling; 4.3.2 Creation; 4.3.3 Partitioning; 4.4 Manipulating the Target Attribute Representation; 4.4.1 Label Switching; 4.5 Partitioning the Search Space; 4.5.1 Divide and Conquer; 4.5.2 Feature Subset-based Ensemble Methods; 4.5.2.1 Random-based Strategy; 4.5.2.2 Reduct-based Strategy; 4.5.2.3 Collective-Performance-based Strategy; 4.5.2.4 Feature Set Partitioning
• Sommario/riassunto: Researchers from various disciplines such as pattern recognition, statistics, and machine learning have explored the use of ensemble methodology since the late seventies. Thus, they are faced with a wide variety of methods, given the growing interest in the field. This book aims to impose a degree of order upon this diversity by presenting a coherent and unified repository of ensemble methods, theories, trends, challenges and applications. The book describes in detail the classical methods, as well as the extensions and novel approaches developed recently. Along with algorithmic descriptions

Rifle reports [[electronic resource] ] : a story of Indonesian independence / / Mary Margaret Steedly

• Record Nr.: UNINA9910786114303321
• Autore: Steedly Mary Margaret <1946->
• Pubbl/distr/stampa: Berkeley, : University of California Press, 2013
• ISBN: 0-520-95528-5
• Descrizione fisica: 1 online resource (417 p.)
• Disciplina: 959.803/5
• Soggetti: Karo-Batak (Indonesian people) - History; Indonesia History Revolution, 1945-1949
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Description based upon print version of record.
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: Front matter -- Contents -- Illustrations -- Acknowledgments -- Technical Notes -- Introduction: The Outskirts of the Nation -- 1. The Golden Bridge -- 2. Buried Guns -- 3. Imagining Independence -- 4. Eager Girls -- 5. Sea of Fire -- 6. Letting Loose the Water Buffaloes -- 7. The Memory Artist -- Conclusion: The Sense of an Ending -- Appendix 1: List of Informants -- Appendix 2: Glossary and Abbreviations -- Appendix 3: Time Line -- Notes -- References -- Index of Cited Informants -- General Index
• Sommario/riassunto: On August 17, 1945, Indonesia proclaimed its independence from Dutch colonial rule. Five years later, the Republic of Indonesia was recognized as a unified, sovereign state. The period in between was a time of aspiration, mobilization, and violence, in which nationalists fought to expel the Dutch while also trying to come to grips with the meaning of "independence." Rifle Reports is an ethnographic history of this extraordinary time as it was experienced on the outskirts of the nation among Karo Batak villagers in the rural highlands of North Sumatra. Based on extensive interviews and conversations with Karo veterans, Rifle Reports interweaves personal and family memories, songs and stories, memoirs and local histories, photographs and monuments, to trace the variously tangled and perhaps incompletely understood ways that Karo women and men contributed to the founding of the Indonesian nation. The routes they followed are divergent, difficult, sometimes wavering, and rarely obvious, but they ; are clearly marked with the signs of gender. This innovative historical study of nationalism and decolonization is an anthropological exploration of the gendering of wartime experience, as well as an inquiry into the work of storytelling as memory practice and ethnographic genre.