We revisit 26 meta-features typically used in the context of meta-learning for model selection. Using visual analysis and computational complexity considerations, we find 4 meta-f...
The focus of research on query performance prediction is to predict the effectiveness of a query given a search system and a collection of documents. If the performance of queries...
bstracts in the structure prior of a Bayesian network could improve the prediction of the prognosis in cancer. Our results show that prediction of the outcome with the text prior w...
We present the development and tuning of a topic-adapted language model for word prediction, which improves keystroke savings over a comparable baseline. We outline our plans to d...
Background: A protein structural class (PSC) belongs to the most basic but important classification in protein structures. The prediction technique of protein structural class has...