83 search results - page 4 / 17 » A Practical Method for Self-adapting Gaussian Expectation Ma... |
CORR
2008
Springer
13 years 6 months ago
2008
Springer
The k-means method is a widely used clustering algorithm. One of its distinguished features is its speed in practice. Its worst-case running-time, however, is exponential, leaving...
TEC
2010
13 years 1 months ago
2010
In some expensive multiobjective optimization problems, several function evaluations can be carried out at one time. Therefore, it is very desirable to develop methods which can g...
AAAI
2010
13 years 8 months ago
2010
Gaussian Mixture Model (GMM) is one of the most popular data clustering methods which can be viewed as a linear combination of different Gaussian components. In GMM, each cluster ...
PCM
2001
Springer
13 years 11 months ago
2001
Springer
A practical method for creating a high dimensional index structure that adapts to the data distribution and scales well with the database size, is presented. Typical media descrip...
JAIR
1998
13 years 6 months ago
1998
This paper presents a general and efficient framework for probabilistic inference and learning from arbitrary uncertain information. It exploits the calculation properties of fini...