H. Ceccatto

most citedNeural network ensembles: Evaluation of aggregation algorithms

1 citations · 1 across the 1 of their papers we have counts for

collaborators

2 papers

cs.AI2005★ 1 cited

Neural network ensembles: Evaluation of aggregation algorithms

P. M. Granitto, P. F. Verdes, H. A. Ceccatto

Ensembles of artificial neural networks show improved generalization capabilities that outperform those of single networks. However, for aggregation to be effective, the individual…

cond-mat.str-el2003

Phase diagram of the $t - t^{'} - U$ chain at half filling

M. E. Torio, A. A. Aligia, H. A. Ceccatto

We study the half filled Hubbard chain including next-nearest-neighbor hopping $t^{'}$ . The model has three phases: one insulating phase with dominant spin-density-wave correlations a…

Neural network ensembles: Evaluation of aggregation algorithms

Phase diagram of the t−t′−U chain at half filling

Phase diagram of the $t - t^{'} - U$ chain at half filling