In this paper, we consider the problem of document ranking in a non-traditional retrieval task, called subtopic retrieval. This task involves promoting relevant documents that cover many subtopics of a query at early ranks, providing thus diversity within the ranking. In the past years, several approaches have been proposed to diversify retrieval results. These approaches can be classified into...

Elitism and sharing are two mechanisms that are believed to improve the performance of an evolutionary multi-criterion optimiser. The relative performance of the two most popular ranking strategies is largely unknown. Using a new empirical inquiry framework, this report studies the effect of elitism, sharing, and ranking design choices using a benchmark suite of two-criterion problems. Performa...

Climate change puts pressure on existing health vulnerabilities through higher frequency of extreme weather events, changes in disease vector distribution or exacerbated air pollution. Climate change adaptation policies may hold potential to reduce societal inequities. We assessed the role of public health and social justice in European climate change adaptation using a three-fold approach: a d...

OBJECTIVES Despite the continuing interest in health economic research, we could find no accessible data set on cost-effectiveness, useful as practical information to decision makers who must allocate scarce resources within the cardiovascular field. The aim of this paper was to present cost-effectiveness ratios, based on a systematic literature search for the treatment of heart diseases. DES...

Krylov eigensolvers are used in many scientific fields, such as nuclear physics, page ranking, oil and gas exploration, etc... In this paper, we focus on the ERAM Krylov eigensolver whose convergence is strongly correlated to the Krylov subspace size and the restarting vector v0, a unit norm vector. We focus on computing the restarting vector v0 to accelerate the ERAM convergence. First, we stu...

Web content quality evaluation is crucial to various web content processing applications. Bagging has a powerful classification capacity by combining multiple classifiers. In this study, similar to Bagging, multiple pairwise bipartite ranking learners are combined to solve the multipartite ranking problems for web content quality evaluation. Both encoding and decoding mechanisms are used to com...

Despite the enormous commercial importance of on-line advertisements (ads), there has been little work done to clarify the basis for ranking and displaying them. Most existing methods rank ads as if the user views each of them in isolation. We will consider a more realistic user model that induces three mutual influences between displayed ads: (i) positional bias (for viewing ads placed higher ...

This paper introduces Signal, a novel method for classifying activity against a small molecule drug target. Signal creates an ensemble, or collection, of meaningful descriptors chosen from a much larger property space. The method works with a variety of descriptor types, including fingerprints that represent four-point pharmacophores or shape descriptors. It also exploits information from both ...