Semisupervised incremental learning is the task of classifying data streams with partially
labeled data when annotation information is difficult to obtain. Besides the sequential …

In this paper, we propose the novel text mining algorithm based on the deep neural network.
In knowledge representation, capable of embodying the of the information content …

In recent applications, first-order optimization methods are often applied in the non-
stationary setting when the minimum point is drifting in time, addressing a so-called …

A memory device includes a first channel including a first cell array and communicating with
a memory controller through a first path, a second channel including a second cell array and …

Deep reinforcement learning augments the reinforcement learning framework and utilizes
the powerful representation of deep neural networks. Recent works have demonstrated the …

Airports are increasingly enhancing and diversifying non-aeronautical revenue streams
through digital channels. The challenges inherent in increasing travellers' engagement with …

A memory device includes a first channel including a first cell array and communicating with
a memory controller through a first path, a second channel including a second cell array and …

Изложен новый алгоритм нестационарной оптимизации, основанный на методе
Нестерова. Получены теоретические границы ожидаемой ошибки оценки. Результаты …