100 search results - page 1 / 20 » Adapting SVM Classifiers to Data with Shifted Distributions |
ICDM
2007
IEEE
13 years 8 months ago
2007
IEEE
Many data mining applications can benefit from adapting existing classifiers to new data with shifted distributions. In this paper, we present Adaptive Support Vector Machine (Ada...
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...
ICNC
2005
Springer
13 years 10 months ago
2005
Springer
This paper presents briefly an incremental learning method based on SVM for online sketchy shape recognition. It can collect all classified results corrected by user and select som...
ICML
2010
IEEE
13 years 5 months ago
2010
IEEE
A learning problem that has only recently gained attention in the machine learning community is that of learning a classifier from group probabilities. It is a learning task that ...
ICML
2004
IEEE
14 years 5 months ago
2004
IEEE
The standard model of supervised learning assumes that training and test data are drawn from the same underlying distribution. This paper explores an application in which a second...