19 search results - page 1 / 4 » Adapting SVM Classifiers to Data with Shifted Distributions |
118
click to vote
ICASSP
2010
IEEE
15 years 1 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...
113
click to vote
ICML
2010
IEEE
15 years 2 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 ...
133
click to vote
KDD
2010
ACM
15 years 5 months ago
2010
ACM
Classification is one of the most essential tasks in data mining. Unlike other methods, associative classification tries to find all the frequent patterns existing in the input...
114
click to vote
ICDM
2010
IEEE
14 years 11 months ago
2010
IEEE
Dataset shift from the training data in a source domain to the data in a target domain poses a great challenge for many statistical learning methods. Most algorithms can be viewed ...
119
click to vote
JMLR
2010
14 years 8 months ago
2010
This paper develops algorithms to train support vector machines when training data are distributed across different nodes, and their communication to a centralized processing unit...