1845 search results - page 3 / 369 » Machine-Learning Applications of Algorithmic Randomness |
ICML
1998
IEEE
14 years 6 months ago
1998
IEEE
Three factors are related in analyses of performance curves such as learning curves: the amount of training, the learning algorithm, and performance. Often we want to know whether...
AAAI
2011
12 years 5 months ago
2011
End-user interactive machine learning is a promising tool for enhancing human productivity and capabilities with large unstructured data sets. Recent work has shown that we can cr...
SEKE
2007
Springer
13 years 11 months ago
2007
Springer
Some machine learning applications are intended to learn properties of data sets where the correct answers are not already known to human users. It is challenging to test such ML ...
AUSDM
2006
Springer
13 years 9 months ago
2006
Springer
The support vector machine (SVM) is a wellestablished and accurate supervised learning method for the classification of data in various application fields. The statistical learnin...
ICML
2004
IEEE
14 years 6 months ago
2004
IEEE
Conditional Random Fields (CRFs; Lafferty, McCallum, & Pereira, 2001) provide a flexible and powerful model for learning to assign labels to elements of sequences in such appl...