Feb 1, 2000 · Performance of the proposed algorithms is compared with the traditional versions of the N-tuple and CART networks on a number of regression ...

Performance of the proposed algorithms is compared with the traditional versions of the N-tuple and CART networks on a number of regression problems. The ...

Similarities between bootstrap aggregation (bagging) and N-tuple sam- pling are explored to propose a retina-free data-driven version of the N-.

Performance of the proposed algorithms is compared with the traditional versions of the N-tuple and CART networks on a number of regression problems. The ...

Performance of the proposed algorithms is compared with the traditional versions of the N-tuple and CART networks on a number of regression problems. The ...

N-tuple regression network. Authors: Aleksander Kolcz. Aleksander Kolcz. View ... Kolcz A(2000)N-tuple Network, CART, and BaggingNeural Computation10.1162 ...

A classification algorithm builds the classifier by analyzing or “learning from” a training set made up of database tuples and their associated class labels.

3 Aleksander Kolcz: N-tuple Network, CART, and Bagging. Neural Computation 12 (2): 293-304 (2000) 2 Aleksander Kolcz, Joshua Alspector : An Internet-Based ...

The theoretical and experimental status of the n-tuple classifier. Authors ... Kolcz A(2000)N-tuple Network, CART, and BaggingNeural Computation10.1162 ...

Two probabilistic interpretations of the n-tuple recognition method are put forward in order to allow this technique to be analysed with the same Bayesian ...