6 search results - page 1 / 2 » Incremental Algorithm Driven by Error Margins |
DIS
2006
Springer
13 years 8 months ago
2006
Springer
Incremental learning is an approach to deal with the classification task when datasets are too large or when new examples can arrive at any time. One possible approach uses concent...
ICML
2003
IEEE
14 years 5 months ago
2003
IEEE
Recent theoretical results have shown that improved bounds on generalization error of classifiers can be obtained by explicitly taking the observed margin distribution of the trai...
ACL
2009
13 years 2 months ago
2009
In this paper, we present a discriminative word-character hybrid model for joint Chinese word segmentation and POS tagging. Our word-character hybrid model offers high performance...
ASPDAC
2009
ACM
13 years 11 months ago
2009
ACM
Majority of practical multivariate statistical analyses and optimizations model interdependence among random variables in terms of the linear correlation among them. Though linear...
ICCV
2009
IEEE
14 years 9 months ago
2009
IEEE
Random Forests (RFs) have become commonplace
in many computer vision applications. Their
popularity is mainly driven by their high computational
efficiency during both training ...