683 search results - page 1 / 137 » Active Sampling for Feature Selection |
AI
2004
Springer
13 years 4 months ago
2004
Springer
Feature selection, as a preprocessing step to machine learning, has been very effective in reducing dimensionality, removing irrelevant data, increasing learning accuracy, and imp...
ICDM
2003
IEEE
13 years 10 months ago
2003
IEEE
In knowledge discovery applications, where new features are to be added, an acquisition policy can help select the features to be acquired based on their relevance and the cost of...
ICPR
2010
IEEE
13 years 10 months ago
2010
IEEE
Abstract—Due to their ability to model sequential data without making unnecessary independence assumptions, conditional random fields (CRFs) have become an increasingly popular ...
SAC
2009
ACM
13 years 11 months ago
2009
ACM
In active learning based music retrieval systems, providing multiple samples to the user for feedback is very necessary. In this paper, we present a new multi-samples selection st...
IJCNN
2008
IEEE
13 years 11 months ago
2008
IEEE
Abstract— Meta-Learning has been used to predict the performance of learning algorithms based on descriptive features of the learning problems. Each training example in this cont...