32 search results - page 2 / 7 » A Method for Inferring Label Sampling Mechanisms in Semi-Sup... |
NIPS
2007
13 years 6 months ago
2007
We present a new and efficient semi-supervised training method for parameter estimation and feature selection in conditional random fields (CRFs). In real-world applications suc...
CVPR
2010
IEEE
14 years 15 days ago
2010
IEEE
A recent dominating trend in tracking called tracking-by-detection uses on-line classifiers in order to redetect objects over succeeding frames. Although these methods usually deli...
KDD
2009
ACM
14 years 5 months ago
2009
ACM
Many scalable data mining tasks rely on active learning to provide the most useful accurately labeled instances. However, what if there are multiple labeling sources (`oracles...
FOIKS
2008
Springer
14 years 1 months ago
2008
Springer
Supervised learning deals with the inference of a distribution over an output or label space $\CY$ conditioned on points in an observation space $\CX$, given a training dataset $D$...
JIFS
2008
13 years 4 months ago
2008
The crucial issue in many classification applications is how to achieve the best possible classifier with a limited number of labeled data for training. Training data selection is ...