Abstract | ||
---|---|---|
The concept of measure functions for classifier performance is suggested. This concept provides an alternative way of selecting and evaluating learned classifiers, and it allows us to define the learning problem as a computational problem. |
Year | DOI | Venue |
---|---|---|
1999 | 10.1016/S0167-8655(99)00084-7 | Pattern Recognition Letters |
Keywords | Field | DocType |
classifier performance evaluation,generalization,cross-validation,cross validation | Computational problem,Margin (machine learning),Pattern recognition,Computer science,Artificial intelligence,Classifier (linguistics),Margin classifier,Cross-validation,Machine learning,Quadratic classifier | Journal |
Volume | Issue | ISSN |
20 | 11-13 | Pattern Recognition Letters |
Citations | PageRank | References |
11 | 0.63 | 3 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Arne Andersson | 1 | 11 | 0.63 |
Paul Davidsson | 2 | 34 | 3.56 |
Johan Lindén | 3 | 11 | 0.63 |