18 search results - page 1 / 4 » Consistency of Multiclass Empirical Risk Minimization Method... |
JMLR
2006
13 years 4 months ago
2006
The consistency of classification algorithm plays a central role in statistical learning theory. A consistent algorithm guarantees us that taking more samples essentially suffices...
JMLR
2010
12 years 11 months ago
2010
In this paper, we investigate the problem of binary classification with a reject option in which one can withhold the decision of classifying an observation at a cost lower than t...
CORR
2008
Springer
13 years 5 months ago
2008
Springer
We develop and analyze M-estimation methods for divergence functionals and the likelihood ratios of two probability distributions. Our method is based on a non-asymptotic variatio...
COLT
2004
Springer
13 years 8 months ago
2004
Springer
This paper introduces a new method using dyadic decision trees for estimating a classification or a regression function in a multiclass classification problem. The estimator is bas...
KDD
2008
ACM
14 years 5 months ago
2008
ACM
We propose a family of novel cost-sensitive boosting methods for multi-class classification by applying the theory of gradient boosting to p-norm based cost functionals. We establ...