In this paper, we study the problem of learning block classification models to estimate block functions. We distinguish general models, which are learned across multiple sites, an...
Aggregating search results from a variety of heterogeneous sources or verticals such as news, image and video into a single interface is a popular paradigm in web search. Although...
Ke Zhou, Ronan Cummins, Mounia Lalmas, Joemon M. J...
An important issue arising from P2P applications is how to accurately and efficiently retrieve the required Web services from large-scale repositories. This paper resolves this is...
Web-based search engines such as Google and NorthernLight return documents that are relevant to a user query, not answers to user questions. We have developed an architecture that...
Dragomir R. Radev, Weiguo Fan, Hong Qi, Harris Wu,...
Background: With the completion of the genome sequences of human, mouse, and other species and the advent of high throughput functional genomic research technologies such as biomi...
Peisen Zhang, Jinghui Zhang, Huitao Sheng, James J...