1214 search results - page 105 / 243 » Labeling Points with Weights |
134
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TNN
2010
14 years 7 months ago
2010
We consider the problem of semi-supervised feature selection, where we are given a small amount of labeled examples and a large amount of unlabeled examples. Since a small number ...
87
Voted
ICML
2006
IEEE
16 years 1 months ago
2006
IEEE
When constructing a classifier from labeled data, it is important not to assign too much weight to any single input feature, in order to increase the robustness of the classifier....
169
Voted
ICML
2003
IEEE
16 years 1 months ago
2003
IEEE
An approach to semi-supervised learning is proposed that is based on a Gaussian random field model. Labeled and unlabeled data are represented as vertices in a weighted graph, wit...
105
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CIKM
2007
Springer
15 years 7 months ago
2007
Springer
Most up-to-date well-behaved topic-based summarization systems are built upon the extractive framework. They score the sentences based on the associated features by manually assig...
VLDB
2004
ACM
15 years 6 months ago
2004
ACM
The ObjectRank system applies authority-based ranking to keyword search in databases modeled as labeled graphs. Conceptually, authority originates at the nodes (objects) containin...