Sciweavers

1160 search results - page 24 / 232
» Combined regression and ranking
Sort
View
SIGIR
2009
ACM
15 years 6 months ago
Reciprocal rank fusion outperforms condorcet and individual rank learning methods
Reciprocal Rank Fusion (RRF), a simple method for combining the document rankings from multiple IR systems, consistently yields better results than any individual system, and bett...
Gordon V. Cormack, Charles L. A. Clarke, Stefan B&...
ICMLA
2009
14 years 9 months ago
Discovering Characterization Rules from Rankings
For many ranking applications we would like to understand not only which items are top-ranked, but also why they are top-ranked. However, many of the best ranking algorithms (e.g....
Ansaf Salleb-Aouissi, Bert C. Huang, David L. Walt...
TIT
2008
109views more  TIT 2008»
14 years 11 months ago
Statistical Analysis of Bayes Optimal Subset Ranking
Abstract--The ranking problem has become increasingly important in modern applications of statistical methods in automated decision making systems. In particular, we consider a for...
David Cossock, Tong Zhang
STOC
2009
ACM
133views Algorithms» more  STOC 2009»
16 years 14 days ago
Numerical linear algebra in the streaming model
We give near-optimal space bounds in the streaming model for linear algebra problems that include estimation of matrix products, linear regression, low-rank approximation, and app...
Kenneth L. Clarkson, David P. Woodruff
RECOMB
2006
Springer
16 years 5 days ago
Probabilistic Paths for Protein Complex Inference
Understanding how individual proteins are organized into complexes and pathways is a significant current challenge. We introduce new algorithms to infer protein complexes by combin...
Hailiang Huang, Lan V. Zhang, Frederick P. Roth, J...