Readability is the measure of how easier a piece text is. assessment plays crucial role in facilitating content writers and proofreaders to receive guidance about easy or difficult In literature, classical readability, lexical measures, deep learning based model have been proposed assess readability. However, readability using machine data-intensive task, which requires reasonable-sized dataset...

In recent years, researches on reinforcement learning (RL) have focused on bridging the gap between adaptive optimal control and bio-inspired learning techniques. Neural network reinforcement learning (NNRL) is among the most popular algorithms in the RL framework. The advantage of using neural networks enables the RL to search for optimal policies more efficiently in several real-life applicat...

Along with growing technology, the flipped learning model has emerged as an alternative to conventional teaching methods. The present study attempted to investigate the students' perceptions of a flipped learning classroom experience contrasted with those of a non-flipped or conventional classroom. To this end, 23 Iranian EFL learners were assigned to two groups. During the first ten weeks, non...

The article is devoted to the problems of education in Russian Federation. After collapse Soviet Union, system a systemic crisis, one reasons for which outdated concept education, too focused on transfer large amount fundamental knowledge. On basis Moscow International University, Integrated Research Institute Academy Sciences and NP "Laboratory Cognitive Consciousness named after A.I. Said-Mah...

For action recognition learning, 2D CNN-based methods are efficient but may yield redundant features due to applying the same convolution kernel each frame. Recent efforts attempt capture motion information by establishing inter-frame connections while still suffering limited temporal receptive field or high latency. Moreover, feature enhancement is often only performed channel space dimension ...

OBJECTIVE We investigated students' conception of learning for an examination in internal medicine, infectious diseases and dermatology-venereology, in three separate examinations versus a single integrated one. METHODS The study was carried out during a curricular change, with one cohort belonging to a new integrated examination and the other to the former non-integrated examination. Forty-e...

LIBOL is an open-source library for large-scale online learning, which consists of a large family of efficient and scalable state-of-the-art online learning algorithms for large-scale online classification tasks. We have offered easy-to-use command-line tools and examples for users and developers, and also have made comprehensive documents available for both beginners and advanced users. LIBOL ...

In heterogeneous data integration, an effective machine learning model plays an important role in schema mapping. Schema mapping machine learning model and its probability learning improvement are analyzed in this paper firstly, and then the concept of multi -analyzer model with the method of fuzzy comprehensive evaluation is put forward to improve machine learning results’ efficiency and accur...