107 search results - page 11 / 22 » Learning to rank using gradient descent |
115
Voted
ML
2002
ACM
15 years 3 months ago
2002
ACM
The problem of automatically tuning multiple parameters for pattern recognition Support Vector Machines (SVMs) is considered. This is done by minimizing some estimates of the gener...
165
Voted
ICCV
2009
IEEE
15 years 1 months ago
2009
IEEE
Multi-label learning is useful in visual object recognition when several objects are present in an image. Conventional approaches implement multi-label learning as a set of binary...
119
Voted
ICML
2003
IEEE
16 years 4 months ago
2003
IEEE
In the standard feature selection problem, we are given a fixed set of candidate features for use in a learning problem, and must select a subset that will be used to train a mode...
126
Voted
NIPS
2007
15 years 4 months ago
2007
We present a general boosting method extending functional gradient boosting to optimize complex loss functions that are encountered in many machine learning problems. Our approach...
136
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CORR
2008
Springer
15 years 3 months ago
2008
Springer
Abstract. We propose a number of techniques for learning a global ranking from data that may be incomplete and imbalanced -- characteristics that are almost universal to modern dat...