Background: Eukaryotic promoter prediction using computational analysis techniques is one of the most difficult jobs in computational genomics that is essential for constructing a...
Question classification is very important for question answering. This paper presents our research work on automatic question classification through machine learning approaches. W...
For large-scale classification problems, the training samples can be clustered beforehand as a downsampling pre-process, and then only the obtained clusters are used for training....
Increasingly large collections of structured data necessitate the development of efficient, noise-tolerant retrieval tools. In this work, we consider this issue and describe an ap...
In this paper, we propose a new approach for identifying the language type of character images. We do this by classifying individual character images to determine the language bou...