2665 search results - page 222 / 533 » Bundle Methods for Machine Learning |
103
Voted
ADMA
2006
Springer
15 years 6 months ago
2006
Springer
Abstract. Most of the work in Machine Learning assume that examples are generated at random according to some stationary probability distribution. In this work we study the problem...
104
Voted
ICML
2007
IEEE
16 years 3 months ago
2007
IEEE
Traditional machine learning makes a basic assumption: the training and test data should be under the same distribution. However, in many cases, this identicaldistribution assumpt...
108
Voted
CIRA
2007
IEEE
15 years 9 months ago
2007
IEEE
—Support vector regression (SVR) is a class of machine learning technique that has been successfully applied to low-level learning control in robotics. Because of the large amoun...
205
Voted
CVPR
2012
IEEE
13 years 7 months ago
2012
IEEE
Learning from streams of evolving and unbounded data is an important problem, for example in visual surveillance or internet scale data. For such large and evolving real-world data...
136
Voted
AAAI
2010
15 years 20 days ago
2010
Multi-instance learning, as other machine learning tasks, also suffers from the curse of dimensionality. Although dimensionality reduction methods have been investigated for many ...