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ICML
1998
IEEE
14 years 8 months ago
An Efficient Boosting Algorithm for Combining Preferences
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...
KDD
2009
ACM
190views Data Mining» more  KDD 2009»
14 years 8 months ago
Named entity mining from click-through data using weakly supervised latent dirichlet allocation
This paper addresses Named Entity Mining (NEM), in which we mine knowledge about named entities such as movies, games, and books from a huge amount of data. NEM is potentially use...
Gu Xu, Shuang-Hong Yang, Hang Li
SIGMOD
2005
ACM
138views Database» more  SIGMOD 2005»
14 years 7 months ago
Automatic Physical Database Tuning: A Relaxation-based Approach
In recent years there has been considerable research on automated selection of physical design in database systems. In current solutions, candidate access paths are heuristically ...
Nicolas Bruno, Surajit Chaudhuri
CHI
2010
ACM
14 years 2 months ago
What would other programmers do: suggesting solutions to error messages
Interpreting compiler errors and exception messages is challenging for novice programmers. Presenting examples of how other programmers have corrected similar errors may help novi...
Björn Hartmann, Daniel MacDougall, Joel Brand...
CTRSA
2010
Springer
257views Cryptology» more  CTRSA 2010»
14 years 2 months ago
Practical Key Recovery Attack against Secret-IV Edon-
Abstract. The SHA-3 competition has been organized by NIST to select a new hashing standard. Edon-R was one of the fastest candidates in the first round of the competition. In thi...
Gaëtan Leurent