161 search results - page 28 / 33 » A Multiple Resampling Method for Learning from Imbalanced Da... |
127
Voted
IJPRAI
2002
15 years 3 months ago
2002
Decision-tree algorithms are known to be unstable: small variations in the training set can result in different trees and different predictions for the same validation examples. B...
156
Voted
PAMI
2012
13 years 6 months ago
2012
— Context is critical for reducing the uncertainty in object detection. However, context modelling is challenging because there are often many different types of contextual infor...
149
Voted
ICDM
2009
IEEE
15 years 10 months ago
2009
IEEE
—The real world is composed of sets of objects that move and morph in both space and time. Useful concepts can be defined in terms of the complex interactions between the multi-...
159
Voted
ACL
2011
14 years 7 months ago
2011
Most previous work on multilingual sentiment analysis has focused on methods to adapt sentiment resources from resource-rich languages to resource-poor languages. We present a nov...
132
Voted
AAAI
2008
15 years 6 months ago
2008
We describe a method to improve detection of disease outbreaks in pre-diagnostic time series data. The method uses multiple forecasters and learns the linear combination to minimi...