Synonyms
Definition
The hypothesis language used by a machine learning system is the language in which the hypotheses (also referred to as patterns or models) it outputs are described.
Motivation and Background
Most machine learning algorithms can be seen as a procedure for deriving one or more hypotheses from a set of observations. Both the input (the observations) and the output (the hypotheses) need to be described in some particular language. This language is respectively called the Observation Language or the hypothesis language. These terms are mostly used in the context of symbolic learning, where these languages are often more complex than in subsymbolic or statistical learning. For instance, hypothesis languages have received a lot of attention in the field of Inductive Logic Programming, where systems typically take as one of their input parameters a declarative specification of the hypothesis language they are supposed to use (which is typically a...
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Recommended Reading
Blockeel H, De Raedt L (1998) Top-down induction of first order logical decision trees. Artif Intell 101(1–2):285–297
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Blockeel, H. (2017). Hypothesis Language. In: Sammut, C., Webb, G.I. (eds) Encyclopedia of Machine Learning and Data Mining. Springer, Boston, MA. https://doi.org/10.1007/978-1-4899-7687-1_372
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DOI: https://doi.org/10.1007/978-1-4899-7687-1_372
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