With the sheer growth of online user data, it becomes challenging to develop preference learning algorithms that are sufficiently flexible in modeling but also affordable in com...
Kai Yu, Shenghuo Zhu, John D. Lafferty, Yihong Gon...
Network alignments are extensively used for comparing, exploring, and predicting biological networks. Existing alignment tools are mostly based on isomorphic and homeomorphic embe...
Qiong Cheng, Piotr Berman, Robert W. Harrison, Ale...
Hash table is used as one of the fundamental modules in several network processing algorithms and applications such as route lookup, packet classification, per-flow state manage...
Haoyu Song, Sarang Dharmapurikar, Jonathan S. Turn...
Tagged data is rapidly becoming more available on the World Wide Web. Web sites which populate tagging services offer a good way for Internet users to share their knowledge. An in...
Background: Protein structural data has increased exponentially, such that fast and accurate tools are necessary to access structure similarity search. To improve the search speed...