Machine learning and knowledge discovery in databases : European Conference, ECML PKDD 2019, Würzburg, Germany, September 16-20, 2019, Proceedings.: European Conference, ECML PKDD 2019, Würzburg, Germany, September 16-20, 2019, Proceedings. Part II (2020)

• Record Type: Book
• Other Titles: ECML PKDD 2019
• Further Information: Note: Ulf Brefeld, Elisa Fromont, Andreas Hotho, Arno Knobbe, Marloes Maathuis, Céline Robardet (eds.).
• Other Names: Brefeld, Ulf; Fromont, Elisa; Hotho, Andreas; Knobbe, Arno J; Maathuis, Marloes, 1978-; Robardet, Céline; ECML PKDD (Conference)
• Contents: Intro -- Preface -- Organization -- Contents -- Part II -- Supervised Learning -- Exploiting the Earth's Spherical Geometry to Geolocate Images -- 1 Introduction -- 2 Prior Work -- 2.1 Image Retrieval -- 2.2 Classification -- 3 Geolocation via the MvMF -- 3.1 The Probabilistic Interpretation -- 3.2 Interpretation as a Classifier -- 3.3 Interpretation as an Image Retrieval Method -- 3.4 Analysis -- 4 Experiments -- 4.1 Procedure -- 4.2 Results -- 5 Conclusion -- References -- Continual Rare-Class Recognition with Emerging Novel Subclasses -- 1 Introduction 2 Problem Setup and Preliminary Data Analysis -- 3 Continual Rare-Class Recognition -- 3.1 Model Formulation -- 3.2 Convexity and Optimization -- 3.3 Time and Space-Complexity Analysis -- 4 Evaluation -- 4.1 Experiment Setup -- 4.2 Experiment Results -- 5 Related Work -- 6 Conclusion -- References -- Unjustified Classification Regions and Counterfactual Explanations in Machine Learning -- 1 Introduction -- 2 Background -- 2.1 Post-hoc Interpretability -- 2.2 Studies of Post-hoc Interpretability Approaches -- 2.3 Adversarial Examples -- 3 Justification Using Ground-Truth Data 3.1 Intuition and Definitions -- 3.2 Implementation -- 4 Procedures for Assessing the Risk of Unconnectedness -- 4.1 LRA Procedure -- 4.2 VE Procedure -- 5 Experimental Study: Assessing the Risk of Unjustified Regions -- 5.1 Experimental Protocol -- 5.2 Defining the Problem Granularity: Choosing n and -- 5.3 Detecting Unjustified Regions -- 5.4 Vulnerability of Post-hoc Counterfactual Approaches -- 6 Conclusion -- References -- Shift Happens: Adjusting Classifiers -- 1 Introduction -- 2 Background and Related Work -- 2.1 Dataset Shift and Prior Probability Adjustment 2.2 Proper Scoring Rules and Bregman Divergences -- 2.3 Adjusted Predictions and Adjustment Procedures -- 3 General Adjustment -- 3.1 Unbounded General Adjustment (UGA) -- 3.2 Bounded General Adjustment -- 3.3 Implementation -- 4 Experiments -- 4.1 Experimental Setup -- 4.2 Results -- 5 Conclusion -- References -- Beyond the Selected Completely at Random Assumption for Learning from Positive and Unlabeled Data -- 1 Introduction -- 2 Preliminaries -- 3 Labeling Mechanisms for PU Learning -- 4 Learning with SAR Labeling Mechanisms -- 4.1 Case 1: True Propensity Scores Known 4.2 Case 2: Propensity Scores Estimated from Data -- 5 Learning Under the SAR Assumption -- 5.1 Reducing SAR to SCAR -- 5.2 EM for Propensity Estimation -- 6 Empirical Evaluation -- 6.1 Data -- 6.2 Methodology and Approaches -- 6.3 Results -- 7 Related Work -- 8 Conclusions -- References -- Cost Sensitive Evaluation of Instance Hardness in Machine Learning -- 1 Introduction -- 2 Notation and Basic Definitions -- 3 Instance Hardness and Cost Curves -- 3.1 Score-Fixed Instance Hardness -- 3.2 Score-Driven Instance Hardness -- 3.3 Rate-Driven Instance Hardness -- 3.4 Score-Uniform Instance Hardness
• Publisher Details: Cham : Springer
• Publication Date: 2020
• Extent: 1 online resource (748 pages)
• Subjects: 006.3/1; Machine learning -- Congresses; Data mining -- Congresses; Data mining; Machine learning; Electronic books; Electronic books; Conference papers and proceedings
• Languages: English
• ISBNs: 9783030461478; 3030461475
• Related ISBNs: 9783030461461
• Notes: Note: Includes bibliographical references and author index.; Note: Print version record.
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• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.