496 search results - page 1 / 100 » Semi-Supervised Learning of Mixture Models |
ICML
2003
IEEE
14 years 5 months ago
2003
IEEE
This paper analyzes the performance of semisupervised learning of mixture models. We show that unlabeled data can lead to an increase in classification error even in situations wh...
ICPR
2010
IEEE
13 years 6 months ago
2010
IEEE
In this paper, the results of a semi-supervised approach based on the Expectation-Maximisation algorithm for model-based clustering are presented. We show in this work that, if th...
ICDM
2005
IEEE
13 years 10 months ago
2005
IEEE
We propose an algorithm to construct classification models with a mixture of kernels from labeled and unlabeled data. The derived classifier is a mixture of models, each based o...
ICIC
2007
Springer
13 years 10 months ago
2007
Springer
We suggest to apply the hybrid neural network based on multi layer perceptron (MLP) and adaptive resonance theory (ART-2) for solving of navigation task of mobile robots. This appr...
ACL
2010
13 years 2 months ago
2010
Most attempts to train part-of-speech taggers on a mixture of labeled and unlabeled data have failed. In this work stacked learning is used to reduce tagging to a classification t...