3 search results - page 1 / 1 » Discriminating self from non-self with finite mixtures of mu... |
GECCO
2008
Springer
13 years 5 months ago
2008
Springer
Affinity functions are the core components in negative selection to discriminate self from non-self. It has been shown that affinity functions such as the r-contiguous distance an...
NECO
2000
13 years 4 months ago
2000
The class of finite mixtures of multivariate Bernoulli distributions is known to be nonidentifiable, i.e., different values of the mixture parameters can correspond to exactly the...
IDA
2007
Springer
13 years 11 months ago
2007
Springer
Abstract. Finite mixture models can be used in estimating complex, unknown probability distributions and also in clustering data. The parameters of the models form a complex repres...