357 search results - page 6 / 72 » New Insights into Learning Algorithms and Datasets |
ICML
2003
IEEE
15 years 10 months ago
2003
IEEE
We present a new type of multi-class learning algorithm called a linear-max algorithm. Linearmax algorithms learn with a special type of attribute called a sub-expert. A sub-exper...
100
click to vote
ICDM
2002
IEEE
15 years 2 months ago
2002
IEEE
We have proposed replicator neural networks (RNNs) as an outlier detecting algorithm [15]. Here we compare RNN for outlier detection with three other methods using both publicly a...
ICMLC
2010
Springer
14 years 7 months ago
2010
Springer
: Bagging (Bootstrap Aggregating) has been proved to be a useful, effective and simple ensemble learning methodology. In generic bagging methods, all the classifiers which are trai...
ICML
1994
IEEE
15 years 1 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...
CVPR
2005
IEEE
15 years 11 months ago
2005
IEEE
We present and analyze a novel regularization technique based on enhancing our dataset with corrupted copies of our original data. The motivation is that since the learning algori...