05453nam 2200685 450 991083033910332120240219151455.01-118-64633-91-118-64620-710.1002/9781118646106(CKB)2670000000360077(EBL)1204742(SSID)ssj0000886212(PQKBManifestationID)11487395(PQKBTitleCode)TC0000886212(PQKBWorkID)10816368(PQKB)10497643(MiAaPQ)EBC1204742(DLC) 2013019555(CaBNVSL)mat06542371(IDAMS)0b00006481da1ac4(IEEE)6542371(OCoLC)843228806(PPN)272406279(EXLCZ)99267000000036007720151222d2013 uy engur|n|---|||||txtccrImbalanced learning foundations, algorithms, and applications /edited by Haibo He, Yunqian MaPiscataway, NJ :IEEE Press ;Hoboken, New Jersey :Wiley,[2013][Piscataqay, New Jersey] :IEEE Xplore,[2013]1 online resource (224 p.)Description based upon print version of record.1-118-64610-X 1-118-07462-9 Includes bibliographical references and index.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 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, 133.6.9 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.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]Data miningInformation resources managementInformation resourcesEvaluationSystem analysisMathematical modelsData mining.Information resources management.Information resourcesEvaluation.System analysisMathematical models.006.312Ma YunqianHe Haibo1976-,CaBNVSLCaBNVSLCaBNVSLBOOK9910830339103321Imbalanced learning4084470UNINA03589nam 2200685Ia 450 991097473950332120240417034839.09780791483350079148335597814237476111423747615(CKB)1000000000459179(EBL)3407763(SSID)ssj0000239171(PQKBManifestationID)11205798(PQKBTitleCode)TC0000239171(PQKBWorkID)10239002(PQKB)11448338(MiAaPQ)EBC3407763(OCoLC)461442508(MdBmJHUP)muse6279(Au-PeEL)EBL3407763(CaPaEBR)ebr10579186(OCoLC)923409735(DE-B1597)681531(DE-B1597)9780791483350(Perlego)2673531(EXLCZ)99100000000045917920040709d2005 ub 0engur|n|---|||||txtccrThe role of history in Latin American philosophy contemporary perspectives /edited by Arleen Salles and Elizabeth Millán-ZaibertAlbany State University of New York Pressc20051 online resource (245 p.)SUNY series in Latin American and Iberian thought and cultureDescription based upon print version of record.9780791464274 079146427X Includes bibliographical references (p. 215-227) and index.""The Role of History in Latin American Philosophy: Contemporary Perspectives""; ""Contents""; ""Acknowledgments""; ""Introduction""; ""Part I. Successful and Unsuccessful Models for Establishing a History of Latin American Philosophy""; ""1. The History of Philosophy and Latin American Philosophy""; ""2. Explanatory and “Argumentativeâ€? History of Philosophy""; ""3. History and Philosophy in the Latin American Setting: Some Disturbing Comments""; ""4. Breaking with the Past: Philosophy and Its History in Latin America""""K""""L""; ""M""; ""N""; ""O""; ""P""; ""Q""; ""R""; ""S""; ""T""; ""U""; ""V""; ""W""; ""X""; ""Z""This book brings the history of Latin American philosophy to an English-speaking audience through the prominent voices of Mauricio Beuchot, Horacio Cerutti-Guldberg, María Luisa Femenías, Jorge J. E. Gracia, Oscar R. Martí, León Olivé, Carlos Pereda, and Eduardo Rabossi. They argue that Spanish is not a philosophically irrelevant language and that there are original positions to be found in the work of Latin American philosophers.Part I of the book looks at why the history of philosophy has not developed in Latin America. A range of theoretical issues are explored, each focusing on specific problems that have hindered the development of a solid history. Part II details the complex task of writing a history of philosophy for a region still haunted by the specter of colonialism.SUNY series in Latin American and Iberian thought and culture.Philosophy, Latin AmericanHistoryHistoryPhilosophyPhilosophy, Latin AmericanHistory.HistoryPhilosophy.199/.8Millǹ-Zaibert Elizabeth1812298Salles Arleen L. F1812299MiAaPQMiAaPQMiAaPQBOOK9910974739503321The role of history in Latin American philosophy4364653UNINA