Background: As in many different areas of science and technology, most important problems in bioinformatics rely on the proper development and assessment of binary classifiers. A ...
The increasing complexity of configurable software systems creates a need for more intelligent sampling mechanisms to detect and locate failure-inducing dependencies between confi...
Adam A. Porter, Myra B. Cohen, Sandro Fouché...
A new ontology-supported and hybrid recommending information system for scholars was proposed. Not only can it fast integrate specific domain documents, but also it can extract imp...
When intelligent systems reason about complex problems with a large hierarchical classification space it is hard to evaluate system performance. For classification problems, differ...
NLP tasks are often domain specific, yet systems can learn behaviors across multiple domains. We develop a new multi-domain online learning framework based on parameter combinatio...