143 search results - page 7 / 29 » Generalization Error and Algorithmic Convergence of Median B... |
ML
2002
ACM
14 years 11 months ago
2002
ACM
In this paper we examine ensemble methods for regression that leverage or "boost" base regressors by iteratively calling them on modified samples. The most successful lev...
PR
2008
14 years 11 months ago
2008
This paper presents a strategy to improve the AdaBoost algorithm with a quadratic combination of base classifiers. We observe that learning this combination is necessary to get be...
ECML
2004
Springer
15 years 5 months ago
2004
Springer
In this paper we present a boosting approach to multiple instance learning. As weak hypotheses we use balls (with respect to various metrics) centered at instances of positive bags...
119
click to vote
COLT
2000
Springer
15 years 3 months ago
2000
Springer
We describe a novel family of PAC model algorithms for learning linear threshold functions. The new algorithms work by boosting a simple weak learner and exhibit complexity bounds...
NIPS
2003
15 years 29 days ago
2003
Margin maximizing properties play an important role in the analysis of classi£cation models, such as boosting and support vector machines. Margin maximization is theoretically in...