the purpose of this study was twofold: (a) to assess the retention of two word types (synonyms and homonyms) in the short term memory, and (b) to investigate the effect of these word types on word learning by asking learners to learn their persian meanings. a total of 73 iranian language learners studying english translation participated in the study. for the first purpose, 36 freshmen from an ...

background:     purpose:     methods:     results:     conclusion:     key words:     ict, esp, medical students , methodology instruction based on ict specialized articles is a more effective method for teaching esp to the students of medicine linguistically and methodologically. the students achieved better results with internet-based medical english articles, compared to the traditional text...

background: in order to transfer teachers’ knowledge, the presence of students is necessary in the classroom. despite numerous studies on the causes of absence, the strategies of its reduction have not been yet investigated and this study intends to address this issue. methods: inthis cross-sectional study 401 students were participated who were selected with systematic random sampling. the stu...

Hierarchical latent class (HLC) models generalize latent class models. As models for cluster analysis, they suit more applications than the latter because they relax the often untrue conditional independence assumption. They also facilitate the discovery of latent causal structures and the induction of probabilistic models that capture complex dependencies and yet have low inferential complexit...

Consider the following outlier detection problem: suppose you are given an unlabeled data set and make the assumptions that one particular class is well-represented but you have no prior knowledge on how many outliers it contains. This scenario can arise in a variety of real world applications such as detecting intrusions in a network or spotting malignant tumors in medical images. Although con...

The rich history of predictive modeling has culminated in a diverse set of techniques capable of making accurate predictions on many real-world problems. Many of these techniques demand training, whereby a set of instances with ground-truth labels (values of a dependent variable) are observed by a model-building process that attempts to capture, at least in part, the relationship between the fe...

In machine learning, one of the important criteria for higher classification accuracy is a balanced dataset. Datasets with a large ratio between minority and majority classes face hindrance in learning using any classifier. Datasets having a magnitude difference in number of instances between the target concept result in an imbalanced class distribution. Such datasets can range from biological ...