1034 search results - page 97 / 207 » A Bayesian Metric for Evaluating Machine Learning Algorithms |
ECML
2007
Springer
15 years 4 months ago
2007
Springer
Abstract. The area under the ROC curve (AUC) has been widely used to measure ranking performance for binary classification tasks. AUC only employs the classifier’s scores to ra...
CORR
2002
Springer
14 years 9 months ago
2002
Springer
Many academic journals ask their authors to provide a list of about five to fifteen keywords, to appear on the first page of each article. Since these key words are often phrases ...
TSD
2009
Springer
15 years 4 months ago
2009
Springer
Abstract. The impact of clause and intraclausal coordination detection to dependency parsing of Slovene is examined. New methods based on machine learning and heuristic rules are p...
ML
2010
ACM
14 years 4 months ago
2010
ACM
We introduce a general-purpose learning machine that we call the Guaranteed Error Machine, or GEM, and two learning algorithms, a real GEM algorithm and an ideal GEM algorithm. Th...
CSDA
2007
14 years 9 months ago
2007
The problem of choosing a good parameter setting for a better generalization performance in a learning task is the so-called model selection. A nested uniform design (UD) methodol...