Purpose: The purpose of this study is to address the limited use transfer learning techniques in radio frequency machine and propose a customized taxonomy for applications. aim enable performance gains, improved generalization, cost-effective training data solutions specific domain.
 Methodology: research design employed involves comprehensive review existing literature on learning. resear...

In an earlier issue of this journal, Craft (2001) explored Neuro-linguistic Programming (NLP) in relation to a classification of learning theories. Craft also offered various observations on, and criticisms of, aspects of NLP such as its theoretical coherence, modelling, Dilts’s ‘logical levels’ and possible dissonance of NLP's espousal of individuality in learning with its experiential emphasi...

The pervasiveness of abusive content on the internet can lead to severe psychological and physical harm. Significant effort in Natural Language Processing (NLP) research has been devoted addressing this problem through detection related sub-areas, such as hate speech, toxicity, cyberbullying, etc. Although current technologies achieve high classification performance studies, it observed that re...

Overview Ontology Population Background Example: Ontology Population using ANNIE Exporting Domain Individuals Exporting Domain Datatype Relationships Exporting Domain Object Property Relationships Exporting NLP Instances Exporting NLP Datatype Property Relationships Exporting NLP Object Property Relationships Exporting Domain/NLP Relationships Exporting Coreferences Installation Downloads Feedb...

To investigate the effects of the centrosomal protein, ninein-like protein (Nlp), on the proliferation, invasion and metastasis of MCF-7 breast cancer cells, the present study established green fluorescent protein (GFP)-containing MCF7 plasmids with steady and overexpression of Nlp (MCG7-GFP-N1p) and blank plasmids (MCF7-GFP) using lentiviral transfection technology in MCF7 the breast cancer ce...

In this tutorial I will introduce ‘learning to rank’, a machine learning technology on constructing a model for ranking objects using training data. I will first explain the problem formulation of learning to rank, and relations between learning to rank and the other learning tasks. I will then describe learning to rank methods developed in recent years, including pointwise, pairwise, and listw...

In this paper we present the performance of parallel text processing with Map Reduce on a cloud platform. Scientific papers in Turkish language are processed using Zemberek NLP library. Experiments were run on a Hadoop cluster and compared with the single machine’s performance.

BACKGROUND The process of documentation in electronic health records (EHRs) is known to be time consuming, inefficient, and cumbersome. The use of dictation coupled with manual transcription has become an increasingly common practice. In recent years, natural language processing (NLP)-enabled data capture has become a viable alternative for data entry. It enables the clinician to maintain contr...