2712 search results - page 139 / 543 » On learning algorithm selection for classification |
111
click to vote
GFKL
2007
Springer
15 years 6 months ago
2007
Springer
Experimental assessment of the performance of classification algorithms is an important aspect of their development and application on real-world problems. To facilitate this analy...
119
click to vote
NIPS
2004
15 years 3 months ago
2004
In this paper we propose to combine two powerful ideas, boosting and manifold learning. On the one hand, we improve ADABOOST by incorporating knowledge on the structure of the dat...
113
click to vote
IJON
2007
15 years 2 months ago
2007
In this article, we extend a local prototype-based learning model by active learning, which gives the learner the capability to select training samples and thereby increase speed a...
117
click to vote
CIKM
2008
Springer
15 years 4 months ago
2008
Springer
Many applications on blog search and mining often meet the challenge of handling huge volume of blog data, in which one single blog could contain hundreds or even thousands of ent...
125
click to vote
JMLR
2010
14 years 9 months ago
2010
Massive Online Analysis (MOA) is a software environment for implementing algorithms and running experiments for online learning from evolving data streams. MOA is designed to deal...