Abstract
The engineer who wants to avoid disappointment has to be aware of certain machine-learning apects that, for the sake of clarity, our introduction to the basic techniques had to neglect. To present some of the most important ones is the task for this chapter.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
- 1.
An evaluation methodology introduced in Sect. 11.5.
- 2.
References
Gordon, D. F. & desJardin, M. (1995). Evaluation and selection of biases in machine learning. Machine Learning, 20, 5–22.
Katz, A. J., Gately, M. T., & Collins, D. R. (1990). Robust classifiers without robust features. Neural Computation, 2, 472–479.
Kohavi, R. (1997). Wrappers for feature selection. Artificial Intelligence, 97(1–2), 273–324.
Kubat, M. (1989). Floating approximation in time-varying knowledge bases. Pattern Recognition Letters, 10, 223–227.
McCallum, A. (1999). Multi-label text classification with a mixture model trained by EM. In Proceedings of the workshop on text learning (AAAI’99) (pp. 1–7).
Thrun, S. B. & Mitchell, T. M. (1995). Lifelong robot learning. Robotics and Automonous Systems, 15, pp. 24–46.
Turney, P. D. (1993). Robust classification with context-sensitive features. In Proceedings of the sixth international conference of industrial and engineering applications of artificial intelligence and expert systems, Edinburgh (pp. 268–276).
Widmer, G. & Kubat, M. (1996). Learning in the presence of concept drift and hidden contexts. Machine Learning, 23, 69–101.
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer International Publishing AG
About this chapter
Cite this chapter
Kubat, M. (2017). Some Practical Aspects to Know About. In: An Introduction to Machine Learning. Springer, Cham. https://doi.org/10.1007/978-3-319-63913-0_10
Download citation
DOI: https://doi.org/10.1007/978-3-319-63913-0_10
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-63912-3
Online ISBN: 978-3-319-63913-0
eBook Packages: Computer ScienceComputer Science (R0)