I tiakina i:
Ngā taipitopito rārangi puna kōrero
Kaituhi matua: Visentin, Marco
Hōputu: Preprint
I whakaputaina: 2001
Ngā marau:
Urunga tuihono:https://arxiv.org/abs/cs/0102015
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Rārangi ihirangi:
  • In this document we propose a new improvement for boosting techniques as proposed in Friedman '99 by the use of non-convex cost functional. The idea is to introduce a correlation term to better deal with forecasting of additive time series. The problem is discussed in a theoretical way to prove the existence of minimizing sequence, and in a numerical way to propose a new "ArgMin" algorithm. The model has been used to perform the touristic presence forecast for the winter season 1999/2000 in Trentino (italian Alps).