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[null,"1.","Record Nr.",null,"UNINA9910140882403321"]
[null,null,"Autore",null,"Hackshaw Allan K."]
[null,null,"Titolo",null,"How to write a grant application / / Allan Hackshaw"]
[null,null,"Pubbl/distr/stampa",null,"Chichester, West Sussex, England : , : Wiley-Blackwell, , 2011"]
[{"$nulls":4},"©2011"]
[null,null,"ISBN",null,"1-282-94445-2"]
[{"$nulls":4},"9786612944451"]
[{"$nulls":4},"1-4443-2965-0"]
[{"$nulls":4},"1-4443-2966-9"]
[null,null,"Descrizione fisica",null,"1 online resource (144 p.)"]
[null,null,"Disciplina",null,"610.79"]
[{"$nulls":4},"615.50724"]
[null,null,"Soggetti",null,"Proposal writing in medicine"]
[{"$nulls":4},"Medicine - Research grants"]
[{"$nulls":4},"Proposal writing for grants"]
[{"$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 and index."]
[null,null,"Nota di contenuto",null,"How to write a grant application; Contents; Foreword; Preface; Acknowledgements; About the author; Chapter 1: Overview; Chapter 2: People involved in the study; Chapter 3: Justification for the study; Chapter 4: Describing the study design; Chapter 5: Associated documents with the grant application; Chapter 6: Financial costs; Chapter 7: Funding body review process; Chapter 8: Annual reports and applying for a grant extension; Bibliography; Index"]
[null,null,null,"Sommario/riassunto","This concise guide covers the important angles of your grant application, whether for a health research project or personal training programme, and will help you be among the successful applicants. The author, a reviewer for grant funding organisations and internationally respected research scientist, gives you the benefit of his experience from both sides of the process in this easy-to-use, readable guide. The book takes you through the grant application process, explaining how to:Present the justification for the proposed projectDescribe the study design clearlyEstimate the"]
[null,"2.","Record Nr.",null,"UNINA9910141572403321"]
[null,null,"Titolo",null,"Imbalanced learning : foundations, algorithms, and applications / / edited by Haibo He, Yunqian Ma"]
[null,null,"Pubbl/distr/stampa",null,"Piscataway, NJ : , : IEEE Press"]
[{"$nulls":4},"Hoboken, New Jersey : , : Wiley, , [2013]"]
[{"$nulls":4},"[Piscataqay, New Jersey] : , : IEEE Xplore, , [2013]"]
[null,null,"ISBN",null,"1-118-64633-9"]
[{"$nulls":4},"1-118-64620-7"]
[null,null,"Descrizione fisica",null,"1 online resource (224 p.)"]
[null,null,"Disciplina",null,"006.312"]
[null,null,"Soggetti",null,"Data mining"]
[{"$nulls":4},"Information resources management"]
[{"$nulls":4},"Information resources - Evaluation"]
[{"$nulls":4},"System analysis - Mathematical models"]
[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 and index."]
[null,null,"Nota di contenuto",null,"Preface ix -- Contributors xi -- 1 Introduction 1 -- Haibo He -- 1.1 Problem Formulation, 1 -- 1.2 State-of-the-Art Research, 3 -- 1.3 Looking Ahead: Challenges and Opportunities, 6 -- 1.4 Acknowledgments, 7 -- References, 8 -- 2 Foundations of Imbalanced Learning 13 -- Gary M. Weiss -- 2.1 Introduction, 14 -- 2.2 Background, 14 -- 2.3 Foundational Issues, 19 -- 2.4 Methods for Addressing Imbalanced Data, 26 -- 2.5 Mapping Foundational Issues to Solutions, 35 -- 2.6 Misconceptions About Sampling Methods, 36 -- 2.7 Recommendations and Guidelines, 38 -- References, 38 -- 3 Imbalanced Datasets: From Sampling to Classifiers 43 -- T. Ryan Hoens and Nitesh V. Chawla -- 3.1 Introduction, 43 -- 3.2 Sampling Methods, 44 -- 3.3 Skew-Insensitive Classifiers for Class Imbalance, 49 -- 3.4 Evaluation Metrics, 52 -- 3.5 Discussion, 56 -- References, 57 -- 4 Ensemble Methods for Class Imbalance Learning 61 -- Xu-Ying Liu and Zhi-Hua Zhou -- 4.1 Introduction, 61 -- 4.2 Ensemble Methods, 62 -- 4.3 Ensemble Methods for Class Imbalance Learning, 66 -- 4.4 Empirical Study, 73 -- 4.5 Concluding Remarks, 79 -- References, 80 -- 5 Class Imbalance Learning Methods for Support Vector Machines 83 -- Rukshan Batuwita and Vasile Palade -- 5.1 Introduction, 83 -- 5.2 Introduction to Support Vector Machines, 84 -- 5.3 SVMs and Class "]
[{"$nulls":4},"Imbalance, 86 -- 5.4 External Imbalance Learning Methods for SVMs: Data Preprocessing Methods, 87 -- 5.5 Internal Imbalance Learning Methods for SVMs: Algorithmic Methods, 88 -- 5.6 Summary, 96 -- References, 96 -- 6 Class Imbalance and Active Learning 101 -- Josh Attenberg and Sd eyda Ertekin -- 6.1 Introduction, 102 -- 6.2 Active Learning for Imbalanced Problems, 103 -- 6.3 Active Learning for Imbalanced Data Classification, 110 -- 6.4 Adaptive Resampling with Active Learning, 122 -- 6.5 Difficulties with Extreme Class Imbalance, 129 -- 6.6 Dealing with Disjunctive Classes, 130 -- 6.7 Starting Cold, 132 -- 6.8 Alternatives to Active Learning for Imbalanced Problems, 133."]
[{"$nulls":4},"6.9 Conclusion, 144 -- References, 145 -- 7 Nonstationary Stream Data Learning with Imbalanced Class Distribution 151 -- Sheng Chen and Haibo He -- 7.1 Introduction, 152 -- 7.2 Preliminaries, 154 -- 7.3 Algorithms, 157 -- 7.4 Simulation, 167 -- 7.5 Conclusion, 182 -- 7.6 Acknowledgments, 183 -- References, 184 -- 8 Assessment Metrics for Imbalanced Learning 187 -- Nathalie Japkowicz -- 8.1 Introduction, 187 -- 8.2 A Review of Evaluation Metric Families and their Applicability -- to the Class Imbalance Problem, 189 -- 8.3 Threshold Metrics: Multiple- Versus Single-Class Focus, 190 -- 8.4 Ranking Methods and Metrics: Taking Uncertainty into Consideration, 196 -- 8.5 Conclusion, 204 -- 8.6 Acknowledgments, 205 -- References, 205 -- Index 207."]
[null,null,null,"Sommario/riassunto","Solving imbalanced learning problems is critical in numerous data-intensive networked systems, including surveillance, security, Internet, finance, biomedical, and defense, to name a few. The first comprehensive look at this new branch of machine learning, this volume offers a critical review of the problem of imbalanced learning, covering the state-of-the-art in techniques, principles, and real-world applications. Scientists and engineers will learn how to tackle the problem of learning from imbalanced datasets, and gain insight into current developments in the field as well as future research.--[Source inconnue]"]
[null,"3.","Record Nr.",null,"UNINA9910819376303321"]
[null,null,"Titolo",null,"Weapons, culture and the anthropology museum / / edited by Tom Crowley and Andy Mills"]
[null,null,"Pubbl/distr/stampa",null,"Newcastle upon Tyne, England : , : Cambridge Scholars Publishing, , 2018"]
[null,null,"ISBN",null,"1-5275-1048-4"]
[null,null,"Descrizione fisica",null,"1 online resource (ix, 256 pages) : illustrations"]
[null,null,"Disciplina",null,"301.074"]
[null,null,"Soggetti",null,"Anthropological museums and collections"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]