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137
Voted
CVPR
2010
IEEE
16 years 3 days ago
2010
IEEE
There are many computer vision algorithms developed for visual (scene and object) recognition. Some systems focus on involved learning algorithms, some leverage millions of trainin...
134
Voted
ICML
1998
IEEE
16 years 4 months ago
1998
IEEE
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...
127
Voted
ICML
2003
IEEE
16 years 4 months ago
2003
IEEE
We analyze the formal grounding behind Negative Correlation (NC) Learning, an ensemble learning technique developed in the evolutionary computation literature. We show that by rem...
130
Voted
ML
2010
ACM
15 years 2 months ago
2010
ACM
We present an algorithm, witch, that learns to detect spam hosts or pages on the Web. Unlike most other approaches, it simultaneously exploits the structure of the Web graph as wel...
142
Voted
COLT
2006
Springer
15 years 7 months ago
2006
Springer
Abstract. We develop a new error bound for transductive learning algorithms. The slack term in the new bound is a function of a relaxed notion of transductive stability, which meas...