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- W1567375706 abstract "In this paper, we propose an example representation system that combines a greater expressive richness than that of the Boolean framework and an analogous treatment complexity. The model we have chosen is algebraic, and has been used up to now to cope with program semantics [4]. The examples are represented by labelled, recursive typed trees. A signature enables us to define the set of all allowed (partial or complete) representations. This model properly contains Boolean representations. We show that in the PAC framework defined by Valiant [10], the extensions to this model of two Boolean formula classes: k-DNF and k-DL, remain polynomially learnable." @default.
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- W1567375706 date "1994-01-01" @default.
- W1567375706 modified "2023-09-26" @default.
- W1567375706 title "Learning from recursive, tree structured examples" @default.
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- W1567375706 doi "https://doi.org/10.1007/3-540-57868-4_75" @default.
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