The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Learning machine learning
Abstract
A discussion of the rapidly evolving realm of machine learning.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The current dominant machine learning approach to AI designs machines to learn via a mapping mechanism, not via cognitive reasoning.
“The current dominant machine learning approach to AI designs machines to learn via a mapping mechanism (i.e., map input pairs (X,Y) to output Y=F(X)), not via cognitive reasoning (Lewis and Denning 2018).”
From A strategic framework for artificial intelligence in marketing (2021) · cites this paper as Lewis and Denning 2018
Citations
Cites
A logical calculus of the ideas immanent in nervous activity
McCulloch, W. S., & Pitts, W. (1943) · The Bulletin of Mathematical Biophysics · doi:10.1007/bf02478259 · Cited by 18,566
Flagged first, then by citations
Research works printed but not linked: 4
- 10.1007/BF02551274 · DOI · Paper page
- 10.5555/2730034.2730138 · DOI
- Hornik K., 1989, Multilayer feedforward networks are universal approximators, Neural Networks, 3, 2
- Minsky M., 1969, MIT Press
Cited by
Sorted by citations
A strategic framework for artificial intelligence in marketing
Huang, M.-H., & Rust, R. T. (2021) · Journal of the Academy of Marketing Science · doi:10.1007/s11747-020-00749-9 · Cited by 2,059
“The current dominant machine learning approach to AI designs machines to learn via a mapping mechanism (i.e., map input pairs (X,Y) to output Y=F(X)), not via cognitive reasoning (Lewis and Denning 2018).”
Background
Metadata
- Authors
- Lewis, T. G., & Denning, P. J.
- Affiliations
- Naval Postgraduate School (US)
- Venue
- Communications of the ACM
- Published
- 2018-11-20
- Volume
- 61
- Issue
- 12
- Pages
- 24-27
- ISSN
- 0001-0782 (ISSN-L)
- 1557-7317
- OpenAlex
- W2901048244
- Cited by
- 14
- References
- 1
- Citations by year
- 2025: 1 · 2024: 1 · 2023: 4 · 2021: 3 · 2020: 3 · 2019: 1 · 2018: 1
- FWCI
- 1.12
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Communications of the ACM (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Machine Learning and Algorithms
- Physical Sciences › Computer Science › Artificial Intelligence › Artificial Intelligence Applications
- Physical Sciences › Computer Science › Artificial Intelligence › Neural Networks and Applications
- Keywords
- machine learning, learning machines
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