The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Applications of machine learning and rule induction
Abstract
M achine learning is the study of computational methods for improving performance by mechanizing the acquisition of knowledge from experience. Expert performance requires much domain-specific knowledge, and knowledge engineering has produced hundreds of AI expert systems that are now used regularly in industry. Machine learning aims to provide increasing levels of automation in the knowledge engineering process, replacing much time-consuming human activity with automatic techniques that improve accuracy or efficiency by discovering and exploiting regularities in training data. The ultimate test of machine learning is its ability to produce systems that are used regularly in industry, education, and elsewhere.
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Cites
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Self-citation
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Cited by
Data Mining: Practical Machine Learning Tools and Techniques
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Metadata
- Authors
- Langley, P., & Simon, H. A.
- Venue
- Communications of the ACM
- Published
- 1995-11
- Volume
- 38
- Issue
- 11
- Pages
- 54-64
- ISSN
- 0001-0782 (ISSN-L)
- 1557-7317
- OpenAlex
- W2042385018
- Cited by
- 505
- References
- 2
- FWCI
- 22.98
- Type
- journal article
- Language
- en
- Open access
- closed
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