235 search results - page 1 / 47 » Constructing New and Better Evaluation Measures for Machine ... |
IJCAI
2007
13 years 6 months ago
2007
Evaluation measures play an important role in machine learning because they are used not only to compare different learning algorithms, but also often as goals to optimize in cons...
ICML
2002
IEEE
14 years 5 months ago
2002
IEEE
We empirically evaluate several state-of-theart methods for constructing ensembles of heterogeneous classifiers with stacking and show that they perform (at best) comparably to se...
IJCAI
1989
13 years 5 months ago
1989
A new decision tree learning algorithm called IDX is described. More general than existing algorithms, IDX addresses issues of decision tree quality largely overlooked in the arti...
IJON
2006
13 years 4 months ago
2006
Ensembles of learning machines have been formally and empirically shown to outperform (generalise better than) single predictors in many cases. Evidence suggests that ensembles ge...
CORR
2008
Springer
13 years 4 months ago
2008
Springer
The repeatability and efficiency of a corner detector determines how likely it is to be useful in a real-world application. The repeatability is importand because the same scene vi...