Case-Based Reasoning Research and Development

Table of Contents

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   Book Overview
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   Chapter 1 Adaptive Goal Driven Autonomy
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   Chapter 2 Answering with Cases: A CBR Approach to Deep Learning
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   Chapter 3 CEC-Model: A New Competence Model for CBR Systems Based on the Belief Function Theory
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   Chapter 4 The Case for Case Based Learning
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   Chapter 5 Case Based Reasoning as a Model for Cognitive Artificial Intelligence
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   Chapter 6 Explainable Distributed Case-Based Support Systems: Patterns for Enhancement and Validation of Design Recommendations
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   Chapter 7 Tangent Recognition and Anomaly Pruning to TRAP Off-Topic Questions in Conversational Case-Based Dialogues
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   Chapter 8 Combining Case-Based Reasoning with Complex Event Processing for Network Traffic Classification
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    Chapter 9 AI-VT: An Example of CBR that Generates a Variety of Solutions to the Same Problem
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    Chapter 10 A Textual Recommender System for Clinical Data
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    Chapter 11 Harnessing Hundreds of Millions of Cases: Case-Based Prediction at Industrial Scale
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    Chapter 12 Case Base Elicitation for a Context-Aware Recommender System
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    Chapter 13 The SECCO Ontology for the Retrieval and Generation of Security Concepts
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    Chapter 14 Exploration vs. Exploitation in Case-Base Maintenance: Leveraging Competence-Based Deletion with Ghost Cases
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    Chapter 15 Dynamic Detection of Radical Profiles in Social Networks Using Image Feature Descriptors and a Case-Based Reasoning Methodology
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    Chapter 16 Segmentation of Kidneys Deformed by Nephroblastoma Using Case-Based Reasoning
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    Chapter 17 FITsense: Employing Multi-modal Sensors in Smart Homes to Predict Falls
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    Chapter 18 Embedded Word Representations for Rich Indexing: A Case Study for Medical Records
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    Chapter 19 Case-Based Data Masking for Software Test Management
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    Chapter 20 A CBR Approach for Imitating Human Playing Style in Ms. Pac-Man Video Game
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    Chapter 21 Perks of Being Lazy: Boosting Retrieval Performance
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    Chapter 22 Bayesian-Supported Retrieval in BNCreek: A Knowledge-Intensive Case-Based Reasoning System
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    Chapter 23 Personalised Human Activity Recognition Using Matching Networks
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    Chapter 24 Why Did Naethan Pick Android over Apple? Exploiting Trade-offs in Learning User Preferences
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    Chapter 25 An Analysis of Case Representations for Marathon Race Prediction and Planning
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    Chapter 26 Dynamic Case Bases and the Asymmetrical Weighted One-Mode Projection
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    Chapter 27 Novel Object Discovery Using Case-Based Reasoning and Convolutional Neural Networks
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    Chapter 28 Modelling Similarity for Comparing Physical Activity Profiles - A Data-Driven Approach
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    Chapter 29 Investigating Textual Case-Based XAI
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    Chapter 30 Improving kNN for Human Activity Recognition with Privileged Learning Using Translation Models
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    Chapter 31 Considering Nutrients During the Generation of Recipes by Process-Oriented Case-Based Reasoning
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    Chapter 32 An Effective Method for Identifying Unknown Unknowns with Noisy Oracle
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    Chapter 33 On the Role of Similarity in Analogical Transfer
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    Chapter 34 Predicting Preferences by Means of Analogical Proportions
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    Chapter 35 A Fast Mapper as a Foundation for Forthcoming Conceptual Blending Experiments
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    Chapter 36 Production of Large Analogical Clusters from Smaller Example Seed Clusters Using Word Embeddings
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    Chapter 37 Case-Based Translation: First Steps from a Knowledge-Light Approach Based on Analogy to a Knowledge-Intensive One
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    Chapter 38 Making the Best of Cases by Approximation, Interpolation and Extrapolation
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    Chapter 39 Opening the Parallelogram: Considerations on Non-Euclidean Analogies
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    Chapter 40 Experiments in Learning to Solve Formal Analogical Equations