Multiple instance learning (MIL) is a branch of machine learning that attempts to learn information from bags of instances. Many real-world applications such as localized content-...
This paper proposes an approach using large scale case structures, which are automatically constructed from both a small tagged corpus and a large raw corpus, to improve Chinese d...
There are few development organizations that have fully integrated usability activities as an integral part of their product development projects. One reason for this is that the ...
Background: An important goal of whole-genome studies concerned with single nucleotide polymorphisms (SNPs) is the identification of SNPs associated with a covariate of interest s...
The paper discusses the innovative patterns such as subtraction, multiplication, division, task unification and attribute dependency change for evaluating the software architectur...