in the process of english learning, each learner has his/her own attitude towards learning. in this path, s/he should feel free to be responsible for what s/he wants and seeks to learn which shows how autonomous the learner is. this study is based on the hypotheses that there is a relationship between what the learner feels towards english language learning and his/her level of autonomy. for th...

The ability to identify individual birds can provide us with information on behavioral interactions between individuals and ecological interactions with the environment. Identifying individual animals has traditionally been a time – and cost – intensive exercise in the field. Most past efforts dedicated towards individual identification from its vocalizations have centered on the analysis of ac...

Customer churn is a main concern of most firms in all industries. The aim of customer churn prediction is detecting customers with high tendency to leave a company. Although, many modeling techniques have been used in the field of churn prediction, performance of ensemble methods has not been thoroughly investigated yet. Therefore, in this paper, we perform a comparative assessment of the perfo...

It is well known that ensembles of predictors produce better accuracy than a single predictor provided there is diversity in the ensemble. This diversity manifests itself as disagreement or ambiguity among the ensemble members. In this paper we focus on ensembles of classifiers based on different feature subsets and we present a process for producing such ensembles that emphasizes diversity (am...

Ensemble methods such as boosting combine multiple learners to obtain better prediction than could be obtained from any individual learner. Here we propose a principled framework for directly constructing ensemble learning methods from kernel methods. Unlike previous studies showing the equivalence between boosting and support vector machines (SVMs), which needs a translation procedure, we show...