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Abstract: It is known that the Error Correcting Output Code (ECOC) technique can improve generalisation for problems involving more than two classes. ECOC uses a strategy based on calculating distance to a class label in order to classify a pattern. However in some applications other kinds of information such as individual class probabilities can be useful. Least Squares(LS) is an alternative combination strategy to the standard distance based measure used in ECOC, but the e ect of code speci... (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...
.... correct probabilities but we can model the error assuming that the expected value of the error is zero for unbiased probability estimates [13]. In general ) is not a square matrix, and so does not have an inverse, but a solution to equation (3) can be found using the method...
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BibTeX entry: (Update)
Ghaderi R Windeatt T. Least squares and estimation measures via error correcting output code. In 2nd Int. Workshop Multiple Classifier Systems,Lecture notes in computer science, Springer-V erlag, pages 148--157, Jul 2001. http://citeseer.ist.psu.edu/windeatt01least.html More
@article{ ghaderi01least,
author = "Reza Ghaderi and Terry Windeatt",
title = "Least Squares and Estimation Measures via Error Correcting Output Code",
journal = "Lecture Notes in Computer Science",
volume = "2096",
pages = "148--??",
year = "2001",
url = "citeseer.ist.psu.edu/windeatt01least.html" }
Citations (may not include all citations):696 UCI repository of machine learning databases (context) - Blake, Merz - 1998
183 Solving multi-class learning problems via errorcorrecting ou.. - Dietterich, Bakiri - 1995
167 Error-Correcting Codes (context) - Peterson, Weldon - 1972
82 Error-correcting output coding correct bias and variance - Kong, Diettrich - 1995
54 Error-correcting output codes: A general method for improvin.. - Dietterich, Bakiri - 1991
27 Using output codes to boost multiclass learning problems - Schapire - 1997
14 ectiveness of error correcting output codes in multiclass le.. (context) - Masulli, Valentini
8 Learning error-correcting output codes from data - Alpaydin, Mayoraz - 1999
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6 Error-correcting output coding for text classication (context) - Berger - 1999
5 a theoretical and experimental analysis (context) - Ghaderi, Windeatt
4 Majority Vote Classiers: Theory and Applications (context) - James - 1998
4 Computational and Graphical Statistics (context) - James, Hastie et al. - 1998
4 Binary codes for multi-class decision combining (context) - Windeatt, Ghaderi - 2000
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1 Combining neural networks voting classiers and error correct.. (context) - Leisch, Hornik - 1997
1 Multi-class learning and ecoc sensitivity (context) - Windeatt, Ghaderi - 2000
1 Viewpoints of error correcting output coding in classication.. (context) - Ghaderi, Windeatt - 2000
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