188 search results - page 1 / 38 » Ensemble Selection Using Diversity Networks |
DMIN
2006
14 years 7 days ago
2006
- An ideal ensemble is composed of base classifiers that perform well and that have minimal overlap in their errors. Eliminating classifiers from an ensemble based on a criterion t...
SBRN
2006
IEEE
14 years 4 months ago
2006
IEEE
CIDM
2009
IEEE
14 years 5 months ago
2009
IEEE
— Both theory and a wealth of empirical studies have established that ensembles are more accurate than single predictive models. Unfortunately, the problem of how to maximize ens...
INFFUS
2006
13 years 10 months ago
2006
Adjusted Rand index is used to measure diversity in cluster ensembles and a diversity measure is subsequently proposed. Although the measure was found to be related to the quality...
PRL
2010
13 years 9 months ago
2010
The nearest-neighbour (1NN) classifier has long been used in pattern recognition, exploratory data analysis, and data mining problems. A vital consideration in obtaining good res...