Non-convex cost functionals in boosting algorithms and methods for panel selection
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arXiv
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| Format: | Preprint |
| Published: |
2001
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| _version_ | 1866916401489379328 |
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| author | Visentin, Marco |
| author_facet | Visentin, Marco |
| contents | 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). |
| format | Preprint |
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arxiv_https___arxiv_org_abs_cs_0102015 |
| institution | arXiv |
| publishDate | 2001 |
| record_format | arxiv |
| spellingShingle | Non-convex cost functionals in boosting algorithms and methods for panel selection Visentin, Marco Neural and Evolutionary Computing Machine Learning Numerical Analysis I.2.6;G.1.2;G.3;I.6.5 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). |
| title | Non-convex cost functionals in boosting algorithms and methods for panel selection |
| topic | Neural and Evolutionary Computing Machine Learning Numerical Analysis I.2.6;G.1.2;G.3;I.6.5 |
| url | https://arxiv.org/abs/cs/0102015 |