Active Sampling for Class Probability Estimation and Ranking.
In many cost-sensitive environments class probability estimates are used by decision makers to evaluate the expected utility from a set of alternatives. Supervised learning can be used to build class probability estimates; however, it often is very costly to obtain training data with class labels. A...
| Publicado no: | Machine learning. 54, 2 (2004). |
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| Autor principal: | |
| Formato: | Artigo |
| Idioma: | English |
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