1364 search results - page 37 / 273 » Sampling Methods for Unsupervised Learning |
124
Voted
PKDD
2010
Springer
15 years 18 days ago
2010
Springer
Abstract. Bayesian reinforcement learning (RL) is aimed at making more efficient use of data samples, but typically uses significantly more computation. For discrete Markov Decis...
145
Voted
ICMLC
2005
Springer
15 years 7 months ago
2005
Springer
Abstract. Many supervised and unsupervised learning algorithms depend on the choice of an appropriate distance metric. While metric learning for supervised learning tasks has a lon...
122
Voted
ICASSP
2008
IEEE
15 years 8 months ago
2008
IEEE
This paper addresses the problem of Voice Active Detection (VAD) in noisy environments. We introduce Variational Bayes approach to EM for classification to replace the heuristic ...
128
Voted
FLAIRS
2008
15 years 4 months ago
2008
We introduce a method to deal with the problem of learning from imbalanced data sets, where examples of one class significantly outnumber examples of other classes. Our method sel...
ICDM
2006
IEEE
15 years 8 months ago
2006
IEEE
Under-sampling is a class-imbalance learning method which uses only a subset of major class examples and thus is very efficient. The main deficiency is that many major class exa...