نتایج جستجو برای: class learning

تعداد نتایج: 964652  

2010

With the advent of the Semantic Web and Semantic Technologies, ontologies have become one of the most prominent paradigms for knowledge representation and reasoning. The popular ontology language OWL, based on description logics, became a W3C recommendation in 2004 and a standard for modelling ontologies on the Web. In the meantime, many studies and applications using OWL have been reported in ...

2014
Hong Cao Chunyu Bao Xiaoli Li David Yew-Kwong Woon

Traditional active learning encounters a cold start issue when very few labelled examples are present for learning a decent initial classifier. Its poor quality subsequently affects selection of the next query and stability of the iterative learning process, resulting in more annotation effort from a domain expert. To address this issue, this paper presents a novel class augmentation technique,...

2010
Jens Lehmann

With the advent of the Semantic Web and Semantic Technologies, ontologies have become one of the most prominent paradigms for knowledge representation and reasoning. The currently most popular ontology language OWL, based on description logics, became a W3C recommendation in 2004 and a standard for modelling ontologies on the Web. In the meantime, many studies and applications using OWL have be...

Journal: :پژوهش های کاربردی روانشناختی 0

according to interactions in multiple grade classes, the present study aims to compare different class compositions in three different groups of fourth-grade multiple grade students in implicit learning and academic achievement. statistical population consists of all fourth grade public elementary school students in piranshahr. 3 groups of students including 8 girls and 8 boys were randomly sel...

2008
Shuo Wang Xin Yao Ata Kaban

This report presents the work completed since the thesis proposal and the revised plan for the future PhD study. Two main issues have been discussed so far: diversity analysis of ensemble models in class imbalance learning, exploration of negative correlation learning on imbalanced data. Experimental design and main conclusions are simply described. More details are included in the two papers i...

Journal: :future of medical education journal 0
majid akbari center of excellence in medical education technology, mashhad university of medical sciences, mashhad, iran atefeh nemati-karimooy department of restorative dentistry, school of dentistry, mashhad university of medical sciences, mashhad, iran fatemeh zourmand-ghasemi mashhad university of medical sciences, mashhad, iran

background: achieving the characteristics of effective teaching can play an undeniable role in assurance of education. the aim of this study was to assess the relationship between some nonverbalbehaviors of university professors during classroom teaching and the level of students’ learning. methods: in this cross sectional study, a list of professors’ nonverbal behaviors and dynamic characteris...

Journal: :international journal of social sciences 0
abolghasem heidarabadi department of sociology, islamic azad university, babol branch shaban barimani department of tefl, islamic azad university, science and research branch, mazandaran maryam kaviani m.a. student, department of tefl, islamic azad university, science and research branch, mazandaran

it is argued that language learning is regarded as the cornerstone of human existence. the widespread use of english as an international language makes it highly important in the world. it is no more working as the status of language of the elite class or the educated class of the society such as professors, rather it is working as an instrument to bring success in life. nowadays, teachers need...

Journal: :IEEE Transactions on Pattern Analysis and Machine Intelligence 2015

Journal: :IEEE Transactions on Knowledge and Data Engineering 2022

We study many-class few-shot (MCFS) problem in both supervised learning and meta-learning settings. Compared to the well-studied many-shot few-class problems, MCFS commonly occurs practical applications but has been rarely studied previous literature. It brings new challenges of distinguishing between many classes given only a few training samples per class. In this paper, we leverage class hie...

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