نتایج جستجو برای: resources classification
تعداد نتایج: 748320 فیلتر نتایج به سال:
This research adjustment of application of Internatinal Classification of Diseasesias, as well as Diagnostic and Statistical Manual of Mental Disorders in Tehran psychiatric centers, was carried out between 2001-2002 and was accomplished through a descriptive method. The information was collected by questionnaires and consisted of attending sessions by researchers. The Research community co...
Resource-scarcity is a topic that is continually researched by the HLT community, especially for the SouthAfrican context. We explore the possibility of leveraging existing resources to help facilitate the development of new resources for under-resourced languages by using cross-lingual classification methods. We investigate the application of an Afrikaans genre classification system on Dutch t...
The evolution of social education has necessitated the optimization various teaching approaches, and classification English resources is one crucial factors. With development electronic computers Big Data technologies, that could not be realized before become possible now. However, traditional methods cannot meet requirements modern computing due to limitations implementation. emergence swarm i...
G-Portal is a Java-based digital library system to manage the metadata of geographyrelated resources on the Web. In addition to providing a flexible repository subsystem to accommodate metadata of different formats using XML and XML Schemas, G-Portal organizes metadata into projects and layers, and supports an integrated and synchronized classification and map-based interfaces over the stored m...
Many on-line applications of machine learning require that the learned classifiers complete classification within strict real-time constraints. In consequence, efficient classifiers such as naive Bayes (NB) are often employed that can complete the required classification tasks even under peak computational loads. While NB provides acceptable accuracy, more computationally intensive approaches c...
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