After the reform and opening up in China, through a series of rapid developments in world,
online education has grown both socially and economically. This area has become …

Active learning (AL) can significantly reduce the overall amount of training data required to
achieve near-optimal performance. Despite the notable advancements in active learning for …

In recent years, the rapid growth of artificial intelligence (AI) has fueled demand for models
that not only achieve high accuracy but also operate efficiently within real-world constraints …

Query learning attempts to seek for the best matched instance with the specific target, which
is widely adopted to find the important instance for active learning. As a solution to large …

this study presents a new regression method for forecasting the occurrence of rainfall. The
method includes three main steps: feature extraction, classification, and preprocessing. In …

ABSTRACT With the Internet of Things paradigm, the data generated by the rapidly
increasing number of connected devices lead to new possibilities, such as using machine …

The object of research is the processes of data filtering and machine learning in content
management systems. The subject of research is developing a hybrid approach to data …

Textual data is the dominant form of data today. In their electronic form, they can be found
from relational databases to accessible online sources such as forums, message boards …

Interactive machine learning (ML) adds a human-in-the-loop aspect to a ML system. Even
though the input from human users to the system is a central part of the concept, the …