Learning to rank from relevance judgment is an active research area. Itemwise score regression, pairwise preference satisfaction, and listwise structured learning are the major te...
Soumen Chakrabarti, Rajiv Khanna, Uma Sawant, Chir...
Ranking Abstraction Ittai Balaban Computer Science Department, New York University, 251 Mercer St., New York, New York 10012, United States and Amir Pnueli Computer Science Departm...
We study the problem of learning to accurately rank a set of objects by combining a given collection of ranking or preference functions. This problem of combining preferences aris...
Yoav Freund, Raj D. Iyer, Robert E. Schapire, Yora...
The signal-dependent rank order mean (SD-ROM) ?lter is effective at removing high levels of impulse noise from 2D scalar-valued signals. Excellent results have been presented for ...
Recursive Feature Elimination RFE combined with feature-ranking is an effective technique for eliminating irrelevant features. In this paper, an ensemble of MLP base classifiers wi...