Titlebook: Schools in Transition; Linking Past, Presen Pauli Siljander,Kimmo Kontio,Eetu Pikkarainen Book 2017 SensePublishers-Rotterdam, The Netherla

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Pauli Siljanderther unspecific way. That is, they do not construct features “on demand”, but rather in advance and without detecting the need for a representation change. Even if structural features are required, current methods do not construct these features in a goal-directed fashion..In previous work, we prese

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Alice Casimiro Lopes,Elizabeth Macedoe .2. algorithm. Usually, it has been found that using an embedded representation results in much better performance for the task being addressed. It is not known whether embeddings can similarly improve performance with data of the kind considered by Inductive Logic Programming (ILP), in which data

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thm to automatically derive features from non-determinate background knowledge. The algorithm conducts a top-down search for first-order clauses, where each clause represents a binary feature. These features are used instead of the non-determinate relations in a subsequent induction step. In contras

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Kimmo Kontio,Eetu Pikkarainen,Pauli Siljanderether with) negative examples. As a consequence programs to induce can be specified more rapidly by the user and the ILP system tends to obtain more accurate definitions. Average running times are not greatly affected by the use of integrity constraints compared to ground negative examples.

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