9 search results - page 2 / 2 » Supervised versus multiple instance learning: an empirical c... |
ICAI
2004
13 years 11 months ago
2004
-- Combination of multiple clusterings is an important task in the area of unsupervised learning. Inspired by the success of supervised bagging algorithms, we propose a resampling ...
IJCAI
2001
13 years 11 months ago
2001
Supervised and unsupervised learning methods have traditionally focused on data consisting of independent instances of a single type. However, many real-world domains are best des...
IDA
2007
Springer
13 years 9 months ago
2007
Springer
Unsupervised sequence learning is important to many applications. A learner is presented with unlabeled sequential data, and must discover sequential patterns that characterize th...
ICML
2004
IEEE
14 years 10 months ago
2004
IEEE
A critical problem in cluster ensemble research is how to combine multiple clusterings to yield a final superior clustering result. Leveraging advanced graph partitioning techniqu...