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Abstract: Previous research has shown that a technique called error-correcting output coding (ECOC) can dramatically improve the classification accuracy of supervised learning algorithms that learn to classify data points into one of k AE 2 classes. In this paper, we will extend the technique so that ECOC can also provide class probability information. ECOC is a method of converting k-class supervised learning problem into a large number L of two-class supervised learning problems and then combining the... (Update)
Context of citations to this paper: More
.... a multi class problem into a set of complementary two class problems is a well established method in many applications [4, 5, 6, 7, 11, 21, 23, 22, 24]. Such a decomposition means that attention can be focused on developing an effective technique for the two class...
...predictor selects a group of the input features. This paper focuses on Error Correcting Output Coding (ECOC) decomposition methods [16, 17, 32, 31, 28] and in particular on the factors a#ecting the e#ectiveness of these ensemble methods. Error correcting output codes [8]...
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BibTeX entry: (Update)
E.B. Kong and T.G. Diettrich. Probability estimation via error-correcting output coding. In Int. Conf. of Articial Inteligence and soft computing, Ban ,Canada, 1997. http://www.cs.orst.edu/ tgd/cv/pubs.html. http://citeseer.ist.psu.edu/kong97probability.html More
@misc{ kong97probability,
author = "E. Kong and T. Diettrich",
title = "Probability estimation via error-correcting output coding",
text = "E.B. Kong and T.G. Diettrich. Probability estimation via error-correcting
output coding. In Int. Conf. of Articial Inteligence and soft computing,
Ban ,Canada, 1997. http://www.cs.orst.edu/ tgd/cv/pubs.html.",
year = "1997",
url = "citeseer.ist.psu.edu/kong97probability.html" }
Citations (may not include all citations):203 Solving Least Squares Problems (context) - Lawson, Hanson - 1974
183 Solving multiclass learning problems via error-correcting ou.. - Dietterich, Bakiri - 1995
139 Neural network classifiers estimate Bayesian a posteriori pr.. (context) - Richard, Lippmann - 1991
82 Error-correcting output coding corrects bias and variance - Kong, Dietterich - 1995
54 Error-correcting output codes: A general method for improvin.. - Dietterich, Bakiri - 1991
35 Recent developments in nonparametric density estimation (context) - Izenman - 1991
14 Program for Empirical Learning (context) - Quinlan - 1993
2 Decision trees as probabilistic classfiers (context) - Quinlan - 1987
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