138 search results - page 22 / 28 » Spatial Latent Dirichlet Allocation |
NIPS
2008
13 years 9 months ago
2008
Distributed learning is a problem of fundamental interest in machine learning and cognitive science. In this paper, we present asynchronous distributed learning algorithms for two...
ACL
2007
13 years 9 months ago
2007
Language model (LM) adaptation is important for both speech and language processing. It is often achieved by combining a generic LM with a topic-specific model that is more releva...
NIPS
2004
13 years 9 months ago
2004
In this paper, we propose a new method, Parametric Embedding (PE), for visualizing the posteriors estimated over a mixture model. PE simultaneously embeds both objects and their c...
CIKM
2008
Springer
13 years 9 months ago
2008
Springer
Topic modeling has been a key problem for document analysis. One of the canonical approaches for topic modeling is Probabilistic Latent Semantic Indexing, which maximizes the join...
ICML
2008
IEEE
14 years 8 months ago
2008
IEEE
We present a principled Bayesian framework for modeling partial memberships of data points to clusters. Unlike a standard mixture model which assumes that each data point belongs ...