نتایج جستجو برای: discovery component

تعداد نتایج: 743735  

2006
Jean Bézivin Hugo Brunelière Mikaël Barbero

MoDisco (for Model Discovery) is an Eclipse GMT component for model-driven reverse engineering. The objective is to allow practical extractions of models from legacy systems. Because of the widely different nature and technological heterogeneity of legacy systems, there are several different ways to extract models from such systems. MoDisco proposes a generic and extensible metamodel-driven app...

The extended classifier systems (XCS) by producing a set of rules is (classifier) trying to solve learning problems as online. XCS is a rather complex combination of genetic algorithm and reinforcement learning that using genetic algorithm tries to discover the encouraging rules and value them by reinforcement learning. Among the important factors in the performance of XCS is the possibility to...

Journal: :IEICE Transactions on Information and Systems 2021

امینیان, مریم , رسولی, محمدصادق, فیلی, هشام , مینایی بیدگلی, بهروز ,

Valency is the key concept in dependency grammar. Among all word categories, verbs are the most important categories with a key role in syntax and semantics. Verb is the central role in a sentence and acts as the main semantic component in the dependency grammar. In this paper, after studying several methods for unsupervised discovery of Persian verb valency, the ambiguities are studied. Among ...

The extended classifier systems (XCS) by producing a set of rules is (classifier) trying to solve learning problems as online. XCS is a rather complex combination of genetic algorithm and reinforcement learning that using genetic algorithm tries to discover the encouraging rules and value them by reinforcement learning. Among the important factors in the performance of XCS is the possibility to...

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