1180 search results - page 41 / 236 » An Instance Selection Approach to Multiple Instance Learning |
ML
2000
ACM
13 years 8 months ago
2000
ACM
Existing methods for exploiting awed domain theories depend on the use of a su ciently large set of training examples for diagnosing and repairing aws in the theory. In this paper,...
ICML
2006
IEEE
14 years 9 months ago
2006
IEEE
There has been much work on applying multiple-instance (MI) learning to contentbased image retrieval (CBIR) where the goal is to rank all images in a known repository using a smal...
SDM
2007
SIAM
13 years 10 months ago
2007
SIAM
Feature selection is an important task in effective data mining. A new challenge to feature selection is the so-called “small labeled-sample problem” in which labeled data is...
PKDD
2010
Springer
13 years 7 months ago
2010
Springer
In this paper we propose a Bayesian model for multi-task feature selection. This model is based on a generalized spike and slab sparse prior distribution that enforces the selectio...
BIBM
2009
IEEE
14 years 5 days ago
2009
IEEE
—We consider the problem of identifying motifs, recurring or conserved patterns, in the sets of biological sequences. To solve this task, we present new deterministic and exact a...