Adaptation techniques based on importance weighting were shown effective for RankSVM and RankNet, viz., each training instance is assigned a target weight denoting its importance ...
We describe a framework called the Uni-Level Description (ULD) for accurately representing information from a broad range of data models. The ULD extends previous metadata-model a...
This paper describes the research of parametric and procedural modeling techniques associated with digital fabrication and form-finding within architectural design. The outcome of...
We introduce the Ranked Feature Fusion framework for information retrieval system design. Typical information retrieval formalisms such as the vector space model, the bestmatch mo...
Metasearch engines submit the user query to several underlying search engines and then merge their retrieved results to generate a single list that is more effective to the users&...