In this work, a hierarchical ensemble of projected clustering algorithm for high-dimensional data is proposed. The basic concept of the algorithm is based on the active learning method (ALM) which is a fuzzy learning scheme, inspired by some behavioral features of human brain functionality. High-dimensional unsupervised active learning method (HUALM) is a clustering algorithm which blurs the da...

abstract introduction: nowadays, a variety of different methods are employed to improve learning particularly in teaching to medical students. one of the factors affecting in learning is making the students active in teaching activities. preparation of question through students is one of these ways to make the students active in learning, which was the main aim of this study. methods and materi...

This study aims at investigating the effects of cooperative language learning on learning active and passive structures among Iranian EFL students. The participants of the study were 60 high school students that were selected from third grade of Barikbin high school in Qazvin. All of the participants were male. Their level of proficiency was intermediate. Then the participants were divided into...

We describe our adventures in creating a new first-year course in Experimental Mathematics that uses active learning. We used a stateof-the-art facility, called The Western Active Learning Space, and got the students to ‘drive the spaceship’ (at least a little bit). This paper describes some of our techniques for pedagogy, some of the vignettes of experimental mathematics that we used, and some...

In this paper we present experimental assessment of a dynamic adaptation of an approach for sentiment classification of tweets. Specifically, this approach enables a dynamic adaptation of the parameters used for three-class classification with a binary SVM classifier. The approach is suited for incremental active learning scenarios in domains with frequent concept alterations and changes. Our t...

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