1215 search results - page 103 / 243 » Numbers in Multi-relational Data Mining |
123
click to vote
SDM
2007
SIAM
15 years 6 months ago
2007
SIAM
We consider the supervised learning of a binary classifier from noisy observations. We use smooth boosting to linearly combine abstaining hypotheses, each of which maps a subcube...
136
click to vote
ICDM
2006
IEEE
15 years 10 months ago
2006
IEEE
Sequence data are abundant in application areas such as computational biology, environmental sciences, and telecommunications. Many real-life sequences have a strong segmental str...
142
click to vote
ICDM
2005
IEEE
15 years 10 months ago
2005
IEEE
Active machine learning algorithms are used when large numbers of unlabeled examples are available and getting labels for them is costly (e.g. requiring consulting a human expert)...
157
click to vote
SDM
2004
SIAM
15 years 6 months ago
2004
SIAM
Semi-supervised clustering uses a small amount of supervised data to aid unsupervised learning. One typical approach specifies a limited number of must-link and cannotlink constra...
165
click to vote
PAKDD
2007
ACM
15 years 10 months ago
2007
ACM
In this study, we propose a novel evolutionary algorithm-based clustering method, named density-sensitive evolutionary clustering (DSEC). In DSEC, each individual is a sequence of ...