Learning-to-rank algorithms, which can automatically adapt ranking functions in web search, require a large volume of training data. A traditional way of generating training examp...
We present a framework to prevent code injection attacks in MS Windows using Native APIs in the operating system. By adopting the idea of diversity, this approach is implemented i...
Lynette Qu Nguyen, Tufan Demir, Jeff Rowe, Francis...
Background: Functional genomic studies involving high-throughput sequencing and tiling array applications, such as ChIP-seq and ChIP-chip, generate large numbers of experimentally...
Mali Salmon-Divon, Heidi Dvinge, Kairi Tammoja, Pa...
Analytic visibility algorithms, for example methods which compute a subdivided mesh to represent shadows, are notoriously unrobust and hard to use in practice. We present a new me...
Sponsored search is a multi-billion dollar business that generates most of the revenue for search engines. Predicting the probability that users click on ads is crucial to sponsor...