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Knowledge Representation and Organization in Machine Learning

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-662-12405-5_15openalex-snapshot
LEARNING EFFICIENT CLASSIFICATION PROCEDURES AND THEIR APPLICATION TO CHESS END GAMES
inferredcites →https://doi.org/10.1007/bf00114116openalex-snapshot
Explanation-Based Learning: An Alternative View
inferredcites →https://doi.org/10.1016/0004-3702(85)90016-5openalex-snapshot
Heuristic classification
inferredcites →https://doi.org/10.1016/0022-2496(83)90037-8openalex-snapshot
Machine learning: An artificial intelligence approach
inferredcites →https://doi.org/10.1016/b978-0-08-051054-5.50006-6openalex-snapshot
WHY SHOULD MACHINES LEARN?
inferredcites →https://doi.org/10.1016/b978-0-08-051054-5.50015-7openalex-snapshot
LEARNING FROM OBSERVATION: CONCEPTUAL CLUSTERING
inferredcites →https://doi.org/10.1016/b978-1-4832-1446-7.50034-0openalex-snapshot
Explanation-Based Generalization: A Unifying View
inferredcites →https://doi.org/10.13021/mars/3560openalex-snapshot
Understanding the Nature of Learning: Issues and Research Directions
inferredcites →https://doi.org/10.2174/9789815136982123010002openalex-snapshot
Introduction to Machine Learning

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Class library implementation of an open architecture knowledge support system
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Knowledge Acquisition and Uncertainty in Fault Diagnosis: A Rough Sets Perspective
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Supporting Collaborative Knowledge Work: A Methodology for Developing ICT Tools for Biomedical Research
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Seven hard problems in symbolic background knowledge acquisition
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On the proper definition of minimality in specialization and theory revision
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Predicate invention in inductive data engineering
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IDDD: An inductive, domain dependent decision algorithm
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Modeling and extending expertise
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An approach to measuring theory quality
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Automated Knowledge Acquisition for Strategic Knowledge
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Balanced Cooperative Modeling
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Toward a Rapid Prototyping Environment for Expert Systems
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Hintergrundwissen in Numerischen Lernverfahren
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Lernen im geschlossenen Kreislauf
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KADS: Model Based KBS Development
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Operations-Research-Modelle und Expertensysteme als Wissensmodule intelligenter Decision-Support-Systeme
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Ausführbare konzeptionelle Modelle
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Verständigungsprobleme und ihre Bedeutung für die computergestützte Vermittlung von Erklärungen
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Lernen von abkürzungsorientiertem, diagnostischen Problemlösen
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Integration of Knowledge in Multi-Agent Environments
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Explicit and operational models as a basis for second generation knowledge acquisition tools
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A Deductive Approach for Knowledge Base Refinement in Expert Systems and its Application to Credit Analysis
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Automated knowledge acquisition for strategic knowledge
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Balanced cooperative modeling
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Integrated knowledge acquisition architectures
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A multistrategy learning approach to domain modeling and knowledge acquisition
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Application of empirical discovery in knowledge acquisition
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Acquiring object-knowledge for learning systems
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Case-based reasoning and expert system development
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Multi-layer incremental induction
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Context-sensitive office tasks a generative approach
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Different roles and mutual dependencies of data, information, and knowledge — An AI perspective on their integration
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Integrating machine learning with knowledge acquisition through direct interaction with domain experts
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Expert systems: Present and future
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Underlying assumptions of knowledge acquisition and machine learning
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OGUST
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APPRENTICESHIP LEARNING IN IMPERFECT DOMAIN THEORIES
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Knowledge discovery using genetic algorithm for maritime situational awareness
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Visualizing Semantic Web proofs of defeasible logic in the DR-DEVICE system
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Design goals for sloppy modeling systems
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Supporting Collaborative Process Knowledge Management in New Product Development Teams
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CORA—A knowledge-based system for the analysis of case-control studies
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A unifying framework for concept-learning algorithms
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Hypothesis-Driven Constructive Induction in AQ17-HCI: A Method and Experiments
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Balanced Cooperative Modeling
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Interactive Concept-Learning and Constructive Induction by Analogy
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Guest Editorial
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Information Systems for Knowledge Management
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KNOWLEDGEABLE LEARNING USING MOBAL: A MEDICAL CASE STUDY
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Exact: a model-based knowledge acquisition tool for selection tasks
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Dynamic integration of knowledge in memory
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Automated knowledge-based software construction
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ACKnowledge project: A framework for knowledge acquisition techniques integration
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Empirical investigation of knowledge representation servers
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Integration issue in knowledge acquisition systems
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Data Mining Application in Biomedical Informatics for Probing into Protein Stability upon Double Mutation
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RATMAN and its relation to other multi-agent testbeds
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Case-Based Knowledge Acquisition, Learning and Problem Solving for Diagnostic Real World Tasks
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Decoding Diverse Learning Needs
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Mixed-initiative exception-based learning for knowledge base refinement
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