The logic of typed feature structures
The logic of typed feature structures
Lazy learning
Bottom-Up Induction of Feature Terms
Machine Learning
Relational instance-based learning with lists and terms
Machine Learning - Special issue on inducive logic programming
Computing Least Common Subsumers in Expressive Description Logics
AI '99 Proceedings of the 12th Australian Joint Conference on Artificial Intelligence: Advanced Topics in Artificial Intelligence
Similarity Measures for Structured Representations
EWCBR '93 Selected papers from the First European Workshop on Topics in Case-Based Reasoning
On the Importance of Similitude: An Entropy-Based Assessment
EWCBR '96 Proceedings of the Third European Workshop on Advances in Case-Based Reasoning
Cases as terms: A feature term approach to the structured representation of cases
ICCBR '95 Proceedings of the First International Conference on Case-Based Reasoning Research and Development
INRECA: A Seamlessly Integrated System Based on Inductive Inference and Case-Based Reasoning
ICCBR '95 Proceedings of the First International Conference on Case-Based Reasoning Research and Development
Term Comparisons in First-Order Similarity Measures
ILP '98 Proceedings of the 8th International Workshop on Inductive Logic Programming
Structural Similarity as Guidance in Case-Based Design
EWCBR '93 Selected papers from the First European Workshop on Topics in Case-Based Reasoning
Learning When to Collaborate among Learning Agents
EMCL '01 Proceedings of the 12th European Conference on Machine Learning
Ensemble Case-Based Reasoning: Collaboration Policies for Multiagent Cooperative CBR
ICCBR '01 Proceedings of the 4th International Conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
Cooperative Case Bartering for Case-Based Reasoning Agents
CCIA '02 Proceedings of the 5th Catalonian Conference on AI: Topics in Artificial Intelligence
Discovering Plausible Explanations of Carcinogenecity in Chemical Compounds
MLDM '07 Proceedings of the 5th international conference on Machine Learning and Data Mining in Pattern Recognition
Usages of Generalization in Case-Based Reasoning
ICCBR '07 Proceedings of the 7th international conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
Cooperative CBR System for Sharing Student Models in Cooperative Intelligent Tutoring Systems
CEEMAS '07 Proceedings of the 5th international Central and Eastern European conference on Multi-Agent Systems and Applications V
Argumentation-Based Information Exchange in Prediction Markets
Argumentation in Multi-Agent Systems
Classification of melanomas in situ using knowledge discovery with explained case-based reasoning
Artificial Intelligence in Medicine
On learning similarity relations in fuzzy case-based reasoning
Transactions on Rough Sets II
Multiagent and Grid Systems
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Reasoning and learning from cases are based on the concept of similarity often estimated by a distance. This paper presents LID, a learning technique adequate for domains where cases are best represented by relations among entities. LID is able to 1) define a similitude term, a symbolic description of what is shared between a problem and precedent cases; and 2) assess the importance of the relations involved in a similitude term with respect to the purpose of correctly classifying the problem. The paper describes two application domains of relational case-based learning with LID: marine sponges identification and diabetes risk assessment.