Name
Abstract | ||
|---|---|---|
In this paper we demonstrate the use of learning with non-uniform error-cost as a novel technique to design a multiclass cost-sensitive classifier We investigate two important aspects of the design. First, we show that the learning is effective enough for active control of the multiclass confusion matrix using the cost-matrix. Second, we study the cases when the classifiers have mild model mismatch problems, and conclude that our design still have better performance compared to the conventional cost-sensitive classifier design. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/ICPR.2008.4761780 | 19TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOLS 1-6 |
Keywords | Field | DocType |
confusion matrix,probability,cost function,covariance matrix,system performance,classification algorithms,learning artificial intelligence,estimation | Confusion,Confusion matrix,Pattern recognition,Computer science,Matrix algebra,Artificial intelligence,Covariance matrix,Statistical classification,Classifier (linguistics),Active control,Machine learning,Multiclass classification | Conference |
ISSN | Citations | PageRank |
1051-4651 | 1 | 0.37 |
References | Authors | |
2 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dwi Sianto Mansjur | 1 | 7 | 2.28 |
| Qiang Fu | 2 | 791 | 81.92 |
| Biing-Hwang Juang | 3 | 3388 | 699.72 |