736 search results - page 22 / 148 » Generalization Error Estimation for Non-linear Learning Meth... |
ECCV
2008
Springer
14 years 10 months ago
2008
Springer
Abstract. We present a technique for learning the parameters of a continuousstate Markov random field (MRF) model of optical flow, by minimizing the training loss for a set of grou...
KDD
1995
ACM
14 years 8 days ago
1995
ACM
Random errors and insufficiencies in databases limit the performance of any classifier trained from and applied to the database. In this paper we propose a method to estimate the ...
ML
2002
ACM
13 years 8 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...
SIGIR
2008
ACM
13 years 8 months ago
2008
ACM
It is difficult to apply machine learning to new domains because often we lack labeled problem instances. In this paper, we provide a solution to this problem that leverages domai...
COLT
1999
Springer
14 years 1 months ago
1999
Springer
The empirical error on a test set, the hold-out estimate, often is a more reliable estimate of generalization error than the observed error on the training set, the training estim...