72 search results - page 9 / 15 » Decision tree and instance-based learning for label ranking |
110
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KDD
2010
ACM
15 years 1 months ago
2010
ACM
Active learning (AL) is an increasingly popular strategy for mitigating the amount of labeled data required to train classifiers, thereby reducing annotator effort. We describe ...
ML
2000
ACM
14 years 11 months ago
2000
ACM
Twenty-two decision tree, nine statistical, and two neural network algorithms are compared on thirty-two datasets in terms of classification accuracy, training time, and (in the ca...
ICML
2000
IEEE
16 years 14 days ago
2000
IEEE
Most machine learning algorithms are lazy: they extract from the training set the minimum information needed to predict its labels. Unfortunately, this often leads to models that ...
ISVC
2010
Springer
14 years 10 months ago
2010
Springer
We consider the problem of developing an automated visual solution for detecting human activities within industrial environments. This has been performed using an overhead view. Th...
111
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JMLR
2010
14 years 6 months ago
2010
In this paper we learn a dissimilarity measure for categorical data, for effective classification of the data points. Each categorical feature (with values taken from a finite set...