1172 search results - page 94 / 235 » From Data Distributions to Regularization in Invariant Learn... |
146
Voted
ICPR
2010
IEEE
15 years 3 months ago
2010
IEEE
—This paper presents a method to find salient image points in images with regular patterns based on deviations from the overall manifold structure. The two main contributions ar...
143
Voted
CIKM
2009
Springer
15 years 8 months ago
2009
Springer
Traditional ranking mainly focuses on one type of data source, and effective modeling still relies on a sufficiently large number of labeled or supervised examples. However, in m...
124
Voted
ICML
2004
IEEE
16 years 4 months ago
2004
IEEE
Classifier learning methods commonly assume that the training data consist of randomly drawn examples from the same distribution as the test examples about which the learned model...
122
click to vote
ICML
2009
IEEE
16 years 4 months ago
2009
IEEE
Despite popular belief, boosting algorithms and related coordinate descent methods are prone to overfitting. We derive modifications to AdaBoost and related gradient-based coordin...
156
Voted
AAAI
2011
14 years 3 months ago
2011
A common approach in machine learning is to use a large amount of labeled data to train a model. Usually this model can then only be used to classify data in the same feature spac...