We consider the general, widely applicable problem of selecting from n real-valued random variables a subset of size m of those with the highest means, based on as few samples as ...
Selectivity estimation of queries not only provides useful information to the query processing optimization but also may give users a preview of processing results. In this paper,...
With the proliferation of extremely high-dimensional data, feature selection algorithms have become indispensable components of the learning process. Strangely, despite extensive ...
—Efficient server selection algorithms reduce retrieval time for objects replicated on different servers and are an important component of Internet cache architectures. This pap...
Sandra G. Dykes, Kay A. Robbins, Clinton L. Jeffer...
Resource selection is an important topic in distributed information retrieval research. It can be a component of a distributed information retrieval task and can also serve as an i...