99 search results - page 1 / 20 » Learning Taxonomies by Dependence Maximization |
NIPS
2008
13 years 6 months ago
2008
We introduce a family of unsupervised algorithms, numerical taxonomy clustering, to simultaneously cluster data, and to learn a taxonomy that encodes the relationship between the ...
ISMIR
2005
Springer
13 years 10 months ago
2005
Springer
A number of approaches for automatic audio classification are based on hierarchical taxonomies since it is acknowledged that improved performance can be thereby obtained. In this...
ESWA
2008
13 years 4 months ago
2008
Resources in virtual organizations are classified based on their local taxonomies. However, heterogeneity between these taxonomies is a serious problem for efficient cooperation p...
FUIN
2010
12 years 11 months ago
2010
Feature selection is an important preprocessing step in pattern analysis and machine learning. The key issue in feature selection is to evaluate quality of candidate features. In t...
NIPS
2004
13 years 6 months ago
2004
We derive an optimal learning rule in the sense of mutual information maximization for a spiking neuron model. Under the assumption of small fluctuations of the input, we find a s...