661 search results - page 1 / 133 » Generalized clustering, supervised learning, and data assign... |
KDD
2001
ACM
14 years 5 months ago
2001
ACM
Clustering algorithms have become increasingly important in handling and analyzing data. Considerable work has been done in devising effective but increasingly specific clustering...
LREC
2008
2008
Division of Example Sentences Based on the Meaning of a Target Word Using Semi-Supervised Clustering
13 years 6 months ago
In this paper, we describe a system that divides example sentences (data set) into clusters, based on the meaning of the target word, using a semi-supervised clustering technique....
ACL
2008
13 years 6 months ago
2008
This paper presents a semi-supervised training method for linear-chain conditional random fields that makes use of labeled features rather than labeled instances. This is accompli...
KBS
2006
13 years 4 months ago
2006
Ensemble methods that train multiple learners and then combine their predictions have been shown to be very effective in supervised learning. This paper explores ensemble methods ...
KDD
2005
ACM
14 years 5 months ago
2005
ACM
Clustering is the problem of identifying the distribution of patterns and intrinsic correlations in large data sets by partitioning the data points into similarity classes. This p...