53 search results - page 7 / 11 » Bayesian Maximum Margin Clustering |
IDA
2009
Springer
14 years 3 months ago
2009
Springer
Abstract. We present a Bayesian treatment of non-negative matrix factorization (NMF), based on a normal likelihood and exponential priors, and derive an efficient Gibbs sampler to ...
ICASSP
2011
IEEE
13 years 8 days ago
2011
IEEE
We introduce Bayesian sensing hidden Markov models (BS-HMMs) to represent speech data based on a set of state-dependent basis vectors. By incorporating the prior density of sensin...
VISAPP
2010
13 years 6 months ago
2010
phies are also mentioned and a common mathematical abstraction for all these inverses problems will be presented. By focusing on a simple linear forward model, first a synthetic an...
JMLR
2008
13 years 8 months ago
2008
The linear model with sparsity-favouring prior on the coefficients has important applications in many different domains. In machine learning, most methods to date search for maxim...
IJBIDM
2006
13 years 8 months ago
2006
: Appraisal of companies is an important business activity. We mainly apply Bayesian networks for this classification task for Japanese electric company data. Firstly, few standard...