We show how a generic feature selection algorithm returning strongly relevant variables can be turned into a causal structure learning algorithm. We prove this under the Faithfuln...
In this paper, we propose an automatic approach, complete with a prototype system, for supporting instant access to maps for local navigation by people with visual impairment. The...
Machine learning approaches offer some of the most cost-effective approaches to building predictive models (e.g., classifiers) in a broad range of applications in computational bio...
Background: Predicting a protein’s structural class from its amino acid sequence is a fundamental problem in computational biology. Much recent work has focused on developing ne...
Iain Melvin, Eugene Ie, Rui Kuang, Jason Weston, W...
Users of a digital book library system typically interact with the system to search for books by querying on the metadata describing the books or to search for information in the p...