Performance deficiencies and inconsistencies among SLA or FL learners can be attributed to variety of sources including both systemic (i.e., language issues) and individual variables.  Contrary to a rich background, the literature still suffers from a gap as far as delving into the issue from language proficiency and learning style is concerned. To fill the gap, this study addressed EFL learner...

In a recent work we evaluated the ability of semi-supervised learning methods based on random walks to rank genes with respect to Cancer Modules (CM) using networks constructed from different sources of information (Re and Valentini, 2012). The performance of this approach was evaluated using a relatively simple data integration scheme consisting in the unweighted sum of the adjacency matrices ...

in this work, several machine learning techniques are presented for nanofiltration modeling. according to the results, specific errors are defined. the rejection due to nanofiltration increases with pressure but decreases with increasing the concentration of chloride ion. methods of machine learning represent the rejection of nanofiltration as a function of concentration, ph, pressure and also ...

This experimental study considered the effects of learning style variations on EFL learners’ performance in different question types of the reading skill and their strategies to get higher scores. To achieve such goals, ninety learners with different academic backgrounds from IELTS classes of Shukuh English Language Institute in Tehran, participated in this study. The researcher first utilized ...

This paper reports findings of a study that examined student performance and attitudes towards the use of information technology in virtual and conventional settings. Students were preservice undergraduate and graduate students enrolled in an educational media and technology course. All were fulltime, on-campus students, but one group completed the course entirely online. A Web-based survey was...

Annotating a video database requires an intensive, time consuming and error prone human effort. However, this is a mandatory task to efficiently analyze multimedia contents. We propose an new selection strategy for active learning methods to minimize human effort in labeling a large database of video sequences. Formally, active learning is a process where new unlabeled samples are iteratively s...