477 search results - page 86 / 96 » Rule Combination in Inductive Learning |
140
Voted
NIPS
2008
15 years 4 months ago
2008
Learning graphical models with hidden variables can offer semantic insights to complex data and lead to salient structured predictors without relying on expensive, sometime unatta...
114
Voted
AAAI
2010
15 years 2 months ago
2010
Multi-task learning aims at combining information across tasks to boost prediction performance, especially when the number of training samples is small and the number of predictor...
112
Voted
BMCBI
2008
15 years 2 months ago
2008
Background: Information obtained from diverse data sources can be combined in a principled manner using various machine learning methods to increase the reliability and range of k...
122
Voted
NN
2006
Springer
15 years 2 months ago
2006
Springer
Previous studies have shown that non-human primates can generate highly stochastic choice behaviour, especially when this is required during a competitive interaction with another...
127
Voted
BMVC
2010
15 years 18 days ago
2010
Kernel methods yield state-of-the-art performance in certain applications such as image classification and object detection. However, large scale problems require machine learning...