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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
2005
ACM
171views Data Mining» more  KDD 2005»
14 years 8 months ago
Deriving marketing intelligence from online discussion
Weblogs and message boards provide online forums for discussion that record the voice of the public. Woven into this mass of discussion is a wide range of opinion and commentary a...
Natalie S. Glance, Matthew Hurst, Kamal Nigam, Mat...
EAGC
2003
Springer
14 years 25 days ago
Mobile Work Environment for Grid Users
In the paper we aim to describe the project developing the Migrating Desktop infrastructure for the mobile users in a simple way. We also focus on the development testbed, which i...
Miroslaw Kupczyk, Rafal Lichwala, Norbert Meyer, B...
SAC
2004
ACM
14 years 1 months ago
GD-GhOST: a goal-oriented self-tuning caching algorithm
A popular solution to internet performance problems is the widespread caching of data. Many caching algorithms have been proposed in the literature, most attempting to optimize fo...
Ganesh Santhanakrishnan, Ahmed Amer, Panos K. Chry...
JNCA
2007
154views more  JNCA 2007»
13 years 7 months ago
Knowledge-based multimedia adaptation for ubiquitous multimedia consumption
Intelligent, server-side adaptation of multimedia resources is becoming increasingly important and challenging for two reasons. First, the market continuously brings up new mobile...
Dietmar Jannach, Klaus Leopold