60 search results - page 7 / 12 » Semisupervised Clustering with Metric Learning using Relativ... |
NIPS
2004
13 years 9 months ago
2004
We propose a new method for clustering based on finding maximum margin hyperplanes through data. By reformulating the problem in terms of the implied equivalence relation matrix, ...
COLT
1997
Springer
14 years 2 days ago
1997
Springer
We relate two problems that have been explored in two distinct communities. The first is the problem of combining expert advice, studied extensively in the computational learning...
IR
2007
13 years 7 months ago
2007
In information retrieval, the cluster hypothesis states: closely related documents tend to be relevant to the same request. We exploit this hypothesis directly by adjusting queryb...
ICDM
2003
IEEE
14 years 1 months ago
2003
IEEE
Semi-supervised learning methods construct classifiers using both labeled and unlabeled training data samples. While unlabeled data samples can help to improve the accuracy of trai...
FLAIRS
2006
13 years 9 months ago
2006
Text categorization involves mapping of documents to a fixed set of labels. A similar but equally important problem is that of assigning labels to large corpora. With a deluge of ...