690 search results - page 2 / 138 » Training of Classifiers Using Virtual Samples Only |
ACL
1996
13 years 6 months ago
1996
Corpus-based methods for natural language processing often use supervised training, requiring expensive manual annotation of training corpora. This paper investigates methods for ...
ICASSP
2010
IEEE
13 years 5 months ago
2010
IEEE
When building a classifier from clean training data for a particular test environment, knowledge about the environmental noise and channel should be taken into account. We propos...
ECML
2007
Springer
13 years 11 months ago
2007
Springer
We extend our recent work on relevant subtask learning, a new variant of multitask learning where the goal is to learn a good classifier for a task-of-interest with too few train...
CVPR
2007
IEEE
13 years 11 months ago
2007
IEEE
Aiming at the problem when both positive and negative training set are enormous, this paper proposes a novel Matrix-Structural Learning (MSL) method, as an extension to Viola and ...
ICPR
2002
IEEE
14 years 6 months ago
2002
IEEE
When more than a single classifier has been trained for the same recognition problem the question arises how this set of classifiers may be combined into a final decision rule. Se...