1034 search results - page 62 / 207 » A Bayesian Metric for Evaluating Machine Learning Algorithms |
ICML
2007
IEEE
15 years 10 months ago
2007
IEEE
The k-Nearest Neighbors algorithm can be easily adapted to classify complex objects (e.g. sets, graphs) as long as a proper dissimilarity function is given over an input space. Bo...
ICML
2010
IEEE
14 years 10 months ago
2010
IEEE
We present and evaluate a machine learning approach to constructing patient-specific classifiers that detect the onset of an epileptic seizure through analysis of the scalp EEG, a...
ML
2010
ACM
14 years 8 months ago
2010
ACM
This paper presents a cooperative evolutionary approach for the problem of instance selection for instance based learning. The presented model takes advantage of one of the most r...
ICML
2006
IEEE
15 years 10 months ago
2006
IEEE
Many applications of supervised learning require good generalization from limited labeled data. In the Bayesian setting, we can try to achieve this goal by using an informative pr...
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ICML
2000
IEEE
15 years 10 months ago
2000
IEEE
This paper has no novel learning or statistics: it is concerned with making a wide class of preexisting statistics and learning algorithms computationally tractable when faced wit...