Abstract— Comparing genetic sequences is a well-known problem in bioinformatics. Newly determined sequences are being compared to known sequences stored in databases in order to ...
Philippe Faes, Bram Minnaert, Mark Christiaens, Er...
The transition of search engine users’ intents has been studied for a long time. The knowledge of intent transition, once discovered, can yield a better understanding of how diï...
Association rule mining is an important data mining problem. It is found to be useful for conventional relational data. However, previous work has mostly targeted on mining a sing...
This paper describes a new kind of language bias, S-structural indeterminate clauses, which takes into account the meaning of predicates that play a key role in the complexity of l...
We present and evaluate a machine learning approach to constructing patient-specific classifiers that detect the onset of an epileptic seizure through analysis of the scalp EEG, a...