2898 search results - page 32 / 580 » Ensemble Methods in Machine Learning |
CIBB
2008
13 years 9 months ago
2008
Abstract. Stability is an important property of machine learning algorithms. Stability in clustering may be related to clustering quality or ensemble diversity, and therefore used ...
ICML
2005
IEEE
14 years 8 months ago
2005
IEEE
We propose a novel ensemble learning algorithm called Triskel, which has two interesting features. First, Triskel learns an ensemble of classifiers, each biased to have high preci...
MLDM
1999
Springer
14 years 22 hour ago
1999
Springer
In the field of pattern recognition, multiple classifier systems based on the combination of the outputs of a set of different classifiers have been proposed as a method for the de...
COLING
2002
13 years 7 months ago
2002
This paper proposes an unsupervised learning model for classifying named entities. This model uses a training set, built automatically by means of a small-scale named entity dicti...
MLDM
2007
Springer
14 years 1 months ago
2007
Springer
Abstract. In the biometric field, different experts are combined to improve the system reliability, as in many application the performance attained by individual experts (i.e., d...