Multiple Instance Learning (MIL) is a special kind of supervised learning problem that has been studied actively in recent years. We propose an approach based on One-Class Support ...
For melodic theme retrieval there is a fundamental tradeoff between retrieval performance and retrieval speed. Melodic representations of large dimension yield the best retrieval ...
Norman H. Adams, Daniela Marquez, Gregory H. Wakef...
Case Retrieval Networks (CRNs) facilitate flexible and efficient retrieval in Case-Based Reasoning (CBR) systems. While CRNs scale up well to handle large numbers of cases in the c...
Sutanu Chakraborti, Robert Lothian, Nirmalie Wirat...
In information retrieval research, comparing retrieval approaches requires test collections consisting of documents, user requests and relevance assessments. Obtaining relevance a...
Benjamin Piwowarski, Andrew Trotman, Mounia Lalmas
Tasks that take place over a long period of time or collaborative tasks where participants are required to develop an understanding of each other’s effort benefit from better co...