5463 search results - page 210 / 1093 » Evaluating algorithms that learn from data streams |
136
click to vote
ICDM
2006
IEEE
15 years 10 months ago
2006
IEEE
In active learning, a machine learning algorithm is given an unlabeled set of examples U, and is allowed to request labels for a relatively small subset of U to use for training. ...
181
click to vote
CVPR
2011
IEEE
15 years 2 months ago
2011
IEEE
Active learning techniques have gained popularity in reducing human effort to annotate data instances for inducing a classifier. When faced with large quantities of unlabeled dat...
145
click to vote
NAACL
2010
15 years 2 months ago
2010
With the recent rise in popularity and size of social media, there is a growing need for systems that can extract useful information from this amount of data. We address the probl...
131
click to vote
SIGIR
2009
ACM
15 years 11 months ago
2009
ACM
In this paper, we propose a Bayesian learning approach to promoting diversity for information retrieval in biomedicine and a re-ranking model to improve retrieval performance in t...
140
click to vote
ESANN
2008
15 years 6 months ago
2008
The analysis of spectral data constitutes new challenges for machine learning algorithms due to the functional nature of the data. Special attention is paid to the metric used in t...