1080 search results - page 103 / 216 » Hedging predictions in machine learning |
145
Voted
ICML
1994
IEEE
15 years 8 months ago
1994
IEEE
Model selection is important in many areas of supervised learning. Given a dataset and a set of models for predicting with that dataset, we must choose the model which is expected...
139
click to vote
ICML
2005
IEEE
16 years 5 months ago
2005
IEEE
We propose a novel ensemble learning algorithm called Triskel, which has two interesting features. First, Triskel learns an ensemble of classifiers, each biased to have high preci...
158
click to vote
ICML
2001
IEEE
16 years 5 months ago
2001
IEEE
Most real-world data is stored in relational form. In contrast, most statistical learning methods work with "flat" data representations, forcing us to convert our data i...
136
click to vote
ML
2010
ACM
15 years 3 months ago
2010
ACM
Image annotation datasets are becoming larger and larger, with tens of millions of images and tens of thousands of possible annotations. We propose a strongly performing method tha...
147
click to vote
COLT
2008
Springer
15 years 6 months ago
2008
Springer
We study the potential benefits to classification prediction that arise from having access to unlabeled samples. We compare learning in the semi-supervised model to the standard, ...