74 search results - page 6 / 15 » Ensembles of Multi-instance Learners |
MCS
2009
Springer
14 years 2 months ago
2009
Springer
Abstract. Semi-supervised learning and ensemble learning are two important learning paradigms. The former attempts to achieve strong generalization by exploiting unlabeled data; th...
DFMA
2005
IEEE
13 years 9 months ago
2005
IEEE
The evolution of the Computer Supported Collaborative Learning (CSCL) implies the definition and managing of a Student Model (SM) regarding the collaborative group of learners cap...
PAKDD
2010
ACM
14 years 4 days ago
2010
ACM
Abstract. It is well known that diversity among component classifiers is crucial for constructing a strong ensemble. Most existing ensemble methods achieve this goal through resam...
ICDM
2003
IEEE
14 years 20 days ago
2003
IEEE
Algorithms for tracking concept drift are important for many applications. We present a general method based on the Weighted Majority algorithm for using any online learner for co...
SSDBM
2010
IEEE
14 years 14 days ago
2010
IEEE
Similarity search and data mining often rely on distance or similarity functions in order to provide meaningful results and semantically meaningful patterns. However, standard dist...