A model of integrated learning
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Summary
A model of integrated learning is proposed, and is illustrated with a detailed case study from the field of epidemiology, and an algorithm called Negative Instance Elimination algorithm is presented that is orthogonal to the well-known Candidate Elimination algorithms.
- Type
- article
- Published
- 1989-06-01
- Cited by
- 3
- References
- 19
- OpenAlex
- https://openalex.org/W1977032430
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:1018205
Keywords
Computer science, Artificial intelligence, Set (abstract data type), Field (mathematics), Machine learning
References
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- The Role of Prior Causal Theories in Generalization
- The Use of Explanations for Similarity-based Learning
- Formulating Concepts According to Purpose
- Learning structural descriptions from examples
- Version spaces: an approach to concept learning.
- Shift of bias for inductive concept learning
- A Theory and Methodology of Inductive Learning
- Infectious Hepatitis: Report of an Outbreak in a Small Connecticut School, Due to Water-Borne Transmission
- What the Frog's Eye Tells the Frog's Brain
- An Analytical Comparison of Some Rule-Learning Programs
- Integrated Learning: Controlling Explanation
- Induction of concepts in the predicate calculus
- A Study of Thinking
- An Approach Based on Integrated Learning to Generating Stories
- Purpose-Directed Analogy
- Inducing Causal and Social Theories: A Prerequisite for Explanation-based Learning
- Conceptual Clustering, Learning from Examples, and Inference
- Learning in intractable domains
- A Knowledge Intensive Approach to Concept Induction
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