The DOI matches its Crossref record.
Introduction to Machine Learning
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Markovics, D., & Mayer, M. J. (2022) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2022.112364 · Cited by 490
A review on prognostics and health management (PHM) methods of lithium-ion batteries
Meng, H., & Li, Y.-F. (2019) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2019.109405 · Cited by 389
kNN-IS: An Iterative Spark-based design of the k-Nearest Neighbors classifier for big data
Maillo, J., Ramírez, S., Triguero, I., & Herrera, F. (2017) · Knowledge-Based Systems · doi:10.1016/j.knosys.2016.06.012 · Cited by 316
Urban Air Pollution Monitoring System With Forecasting Models
Bashir Shaban, K., Kadri, A., & Rezk, E. (2016) · IEEE Sensors Journal · doi:10.1109/jsen.2016.2514378 · Cited by 293
Experimental Realization of Quantum Artificial Intelligence
Zhaokai, L., Xiaomei, L., Nanyang, X., & jiangfeng, D. (2014) · arXiv · doi:10.48550/arxiv.1410.1054 · Cited by 261
Metadata
- Venue
- Kybernetes
- Publisher
- Emerald
- Published
- 2010-08-10
- Volume
- 39
- Issue
- 8
- ISSN
- 0368-492X (ISSN-L)
- OpenAlex
- W4206070770
- Cited by
- 1,183
- References
- 0
- FWCI
- 53.05
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Introduction to Machine Learning. https://app.cochat.ai/papers/10.1108/k.2010.06739hae.001
- The paper
- Introduction to Machine Learning. (2010). Kybernetes. https://doi.org/10.1108/k.2010.06739hae.001
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
