Mathieson, M.: Ordered Classes and Incomplete Examples in Classification. In M. Mozer et al. (eds.), Advances in Neural Information Processing Systems 9. MIT Press, Cambridge, MA, 1996. Home/Search Document Not in Database Summary Related Articles Check |
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Predicting Ordinal Classes in ILP - Widmer, Kramer, Pfahringer, de.. (Correct)
....1995] Such cost matrices can be used to express relative distances between classes. In the area of statistics, there are methods directly relevant to our problem (e.g. Ordinal Logistic Regression [McCullagh, 1980] some of these have also been studied in the field of neural networks (e.g. [Mathieson, 1996]) However, our goal is to develop induction algorithms that (1) produce interpretable, symbolic models and (2) are applicable to relational, first order learning tasks like the mesh design problem. The purpose of the research described in this paper is to study ways of learning to predict ordinal ....
Mathieson, M. (1996). Ordered Classes and Incomplete Examples in Classification. In M. Mozer et al. (eds.), Advances in Neural Information Processing Systems 9. Cambridge, MA: MIT Press.
Prediction of Ordinal Classes Using Regression Trees - Kramer, al. (2001) (3 citations) (Correct)
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Mathieson, M.: Ordered Classes and Incomplete Examples in Classification. In M. Mozer et al. (eds.), Advances in Neural Information Processing Systems 9. MIT Press, Cambridge, MA, 1996.
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