Learning a sequence classifier means learning to predict a sequence of output tags based on a set of input data items. For example, recognizing that a handwritten word is "ca...
This paper presents the model of e-market structure and process analysis of tourism e-commerce. First the tourism e-commerce status quo is given clearly; secondly e-commerce and i...
In this paper we propose a communication-centric approach to specifying and checking how multithreaded programs use shared memory to perform inter-thread communication. Our approa...
Benjamin P. Wood, Adrian Sampson, Luis Ceze, Dan G...
Most highly accurate predictive modeling techniques produce opaque models. When comprehensible models are required, rule extraction is sometimes used to generate a transparent mod...
Background: Receiver operating characteristic (ROC) curves are useful tools to evaluate classifiers in biomedical and bioinformatics applications. However, conclusions are often r...