54 search results - page 11 / 11 » On the efficient minimization of convex surrogates in superv... |
ICML
2010
IEEE
13 years 6 months ago
2010
IEEE
We present a new algorithm for minimizing a convex loss-function subject to regularization. Our framework applies to numerous problems in machine learning and statistics; notably,...
ICML
2008
IEEE
14 years 6 months ago
2008
IEEE
This paper aims to conduct a study on the listwise approach to learning to rank. The listwise approach learns a ranking function by taking individual lists as instances and minimi...
CORR
2000
Springer
13 years 5 months ago
2000
Springer
In real-world environments it usually is difficult to specify target operating conditions precisely, for example, target misclassification costs. This uncertainty makes building ro...
TEC
2010
13 years 1 days ago
2010
We propose a unified data modeling approach that is equally applicable to supervised regression and classification applications, as well as to unsupervised probability density func...