JMLR
2012
12 years 1 months ago
2012
Often, high dimensional data lie close to a low-dimensional submanifold and it is of interest to understand the geometry of these submanifolds. The homology groups of a manifold a...
UAI
2001
14 years 25 days ago
2001
We present an iterative Markov chain Monte Carlo algorithm for computing reference priors and minimax risk for general parametric families. Our approach uses MCMC techniques based...
COLT
2004
Springer
14 years 3 months ago
2004
Springer
We consider the binary classification problem. Given an i.i.d. sample drawn from the distribution of an X