Learning ranking (or preference) functions has been a major issue in the machine learning community and has produced many applications in information retrieval. SVMs (Support Vect...
I report briefly on some of my own work in each of these areas and elucidate some of the questions that this research has raised. Then I propose as a research agenda the developme...
Background: High-density tiling arrays and new sequencing technologies are generating rapidly increasing volumes of transcriptome and protein-DNA interaction data. Visualization a...
J. Christopher Bare, Tie Koide, David J. Reiss, Da...
Traditional ranking mainly focuses on one type of data source, and effective modeling still relies on a sufficiently large number of labeled or supervised examples. However, in m...
Bo Wang, Jie Tang, Wei Fan, Songcan Chen, Zi Yang,...
Question answering (QA) systems take users’ natural language questions and retrieve relevant answers from large repositories of free texts. Despite recent progress in QA researc...