Structured Models [All18], that is, Models of Structured (multivariate) Data.

Mixture models (clustering, classification) [All18b],

(Hidden) Markov models, PFSA,

Classification- (decision-) trees and graphs etc. [All18c],

Regression- and Model-trees,

Sequence segmentation,

Megalithic stone circles! [PW82]

Bayesian networks [OAK06],

Supervised learning,

Unsupervised learning,

Trees and Graphs [All18d],

References

[All05] L Allison, 'Models for Machine Learning and Data Mining in Functional Programming', Journal of Functional Programming, 15(1), pp.15-32, doi:10.1017/S0956796804005301, January 2005.

[All18] L. Allison, 'Coding Ockham's Razor', Springer, doi:10.1007/978-3-319-76433-7, 2018.

[All18b] . . . , 'Mixture Models', ch.7 'Coding Ockham's Razor', doi:10.1007/978-3-319-76433-7_7, 2018.

[All18c] . . . , 'Function Models 2', ch.8 'Coding Ockham's Razor', doi:10.1007/978-3-319-76433-7_8, 2018.

[All18d] . . . , 'Graphs', ch.11 'Coding Ockham's Razor', doi:10.1007/978-3-319-76433-7_11, 2018.

[OAK06] R. T. O'Donnell, L. Allison and K. B. Korb, 'Learning Hybrid Bayesian Networks by MML', Springer, LNCS/LNAI, 4304, pp.192-203, doi:10.1007/11941439_23, 2006.

[PW82] J. Patrick and C. S. Wallace, 'Stone Circle Geometries: An Information Theory Approach', in Archaeoastronomy in the Old World, Cambridge University Press (CUP), doi:10.1017/CBO9780511898310.016, 1982.