108 search results - page 7 / 22 » Clustering with Bregman Divergences |
TKDD
2008
15 years 1 months ago
2008
ICPR
2008
IEEE
15 years 8 months ago
2008
IEEE
In semi-supervised clustering, domain knowledge can be converted to constraints and used to guide the clustering. In this paper we propose a feature selection algorithm for semi-s...
ICML
2009
IEEE
16 years 2 months ago
2009
IEEE
We present tight surrogate regret bounds for the class of proper (i.e., Fisher consistent) losses. The bounds generalise the margin-based bounds due to Bartlett et al. (2006). The...
ICML
2006
IEEE
16 years 2 months ago
2006
IEEE
Kernel learning plays an important role in many machine learning tasks. However, algorithms for learning a kernel matrix often scale poorly, with running times that are cubic in t...