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In particular, in both [3] and [32] authors emphasize several factors that, in combination with the uneven distribution, impose harder learning constraints.
We tentatively propose that the level of morphological specification is a product of languages adapting to the learning constraints and the unique communicative needs of the speaker population.
This appeal to learning constraints of adult learners as an explanation for morphological simplification has also been proposed by the descriptive analyses of Trudgill [29] and McWhorter's ("interrupted transmission" hypothesis) [7] which has been previously supported only by selected examples.
One way to understand how these relationships come about is through what we have referred to as the Linguistic Niche Hypothesis (LNH) according to which different languages are placed under different learning constraints by socio-demographic factors.
The authors in the study reported learning constraints during clinical placements such as, students being too young, not having enough life experience and the CIs not appreciating or understanding the differences university-trained students now bring to the prehospital system.
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The learning constraint of the supervised ANNs makes their own output coincide with the predefined target.
"Morsi is learning the constraints and the realities of the cold wars in the region — the old rivalries and local calculations," Mr. Shahin said.
This paper proposes a unified approach to learning from constraints, which integrates the ability of classical machine learning techniques to learn from continuous feature-based representations with the ability of reasoning using higher-level semantic knowledge typical of Statistical Relational Learning.
To effectively learn the constraints generated by initial seeds for image segmentation, we employ kernel propagation (KP) based on kernel learning.
Forget the conventional rewards: what I learned from Dark Souls is that playing with and learning from constraint is a delicious trophy in itself.
Therefore, algorithms which are practical in learning the QoS constraints as the network is in operation [28] are more essential.
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