1775 search results - page 48 / 355 » Learning Spectral Clustering |
ICML
2010
IEEE
14 years 11 months ago
2010
IEEE
Hidden Markov Models (HMMs) are important tools for modeling sequence data. However, they are restricted to discrete latent states, and are largely restricted to Gaussian and disc...
ICML
2008
IEEE
15 years 10 months ago
2008
IEEE
We present an active learning scheme that exploits cluster structure in data.
SIAMMAX
2010
14 years 4 months ago
2010
Many mathematical models involve flow equations characterized by nonconstant viscosity, and a Stokes type problem with variable viscosity coefficient arises. Appropriate block diag...
NIPS
2004
14 years 11 months ago
2004
While clustering is usually an unsupervised operation, there are circumstances in which we believe (with varying degrees of certainty) that items A and B should be assigned to the...
ICML
2005
IEEE
15 years 10 months ago
2005
IEEE
This paper presents a learning theoretical analysis of correlation clustering (Bansal et al., 2002). In particular, we give bounds on the error with which correlation clustering r...