274 search results - page 10 / 55 » Multiple labels associative classification |
106
Voted
ICML
2007
IEEE
16 years 1 months ago
2007
IEEE
We consider the problem of multiclass classification where both labeled and unlabeled data points are given. We introduce and demonstrate a new approach for estimating a distribut...
112
Voted
ICMLA
2008
15 years 2 months ago
2008
In this work, a new learning paradigm called target selection is proposed, which can be used to test for associations between a single genetic variable and a multidimensional, qua...
109
Voted
PAMI
2006
15 years 18 days ago
2006
Multiple-instance problems arise from the situations where training class labels are attached to sets of samples (named bags), instead of individual samples within each bag (called...
104
click to vote
AAAI
2006
15 years 2 months ago
2006
Information integration systems combine data from multiple heterogeneous Web services to answer complex user queries, provided a user has semantically modeled the service first. T...
104
Voted
KDD
2007
ACM
16 years 1 months ago
2007
ACM
Typical approaches to multi-label classification problem require learning an independent classifier for every label from all the examples and features. This can become a computati...