108 search results - page 8 / 22 » Clustering with Bregman Divergences |
ICML
2007
IEEE
14 years 8 months ago
2007
IEEE
In this paper, we present an information-theoretic approach to learning a Mahalanobis distance function. We formulate the problem as that of minimizing the differential relative e...
JMLR
2010
13 years 6 months ago
2010
The problem of computing a maximum a posteriori (MAP) configuration is a central computational challenge associated with Markov random fields. There has been some focus on “tr...
AAAI
2007
13 years 10 months ago
2007
Existing graph partitioning approaches are mainly based on optimizing edge cuts and do not take the distribution of edge weights (link distribution) into consideration. In this pa...
COLT
2005
Springer
13 years 9 months ago
2005
Springer
Category ranking is the task of ordering labels with respect to their relevance to an input instance. In this paper we describe and analyze several algorithms for online category r...
CORR
2010
Springer
13 years 7 months ago
2010
Springer
In Bayesian machine learning, conjugate priors are popular, mostly due to mathematical convenience. In this paper, we show that there are deeper reasons for choosing a conjugate pr...