Sentence examples for building a classification ensemble from inspiring English sources

To further boost the predicting performance, we extend the proposed NMF-SSCC method into an ensemble scheme, called NMFE-SSCC, in terms of building a classification ensemble with a set of NMF-SSCC collective classifiers using different constructed latent graphs.

Algorithm ?? describes the basic process of building a classification tree.

Two of the key characteristics for building a robust classifier ensemble include (a) the diversity among the classifier models in the ensemble [ 84] and (b) the reasonably high accuracy of the individual members in the ensemble.

Specifically, we must analyze two different schemes for the classification techniques: (1) carrying out a model aggregation (fusion) from the outputs of every Map process or (2) building an ensemble system and combine their predictions during the inference process.

This is achieved through building an ensemble framework of base learning systems (i.e., individual models).

The RF classifier works by building an ensemble of N t decision trees, { h i(x), i = 1,..., N t} [ 23].

In this paper, instead of building a single global classifier, we propose a local patch-based subspace ensemble method which builds multiple individual classifiers based on different subsets of local patches and then combines them for more accurate and robust classification.

The other group, led by Walsh et al, proposed an ensemble of neural networks for building a CDSS [ 15] for bronchiolitis for infants and toddlers.

Data analysis was done using a robust non-parametric classification ensemble; Discriminant Analysis (DA).

(1) This paper has presented a novel ensemble SVR model which uses E a in ranking and building the final ensemble model.

RF is a classification algorithm that uses an ensemble of tree-structured classifiers (Breiman, 2001).