14 search results - page 3 / 3 » Fast collapsed gibbs sampling for latent dirichlet allocatio... |
AIRS
2009
Springer
15 years 4 months ago
2009
Springer
Relevance-based language models operate by estimating the probabilities of observing words in documents relevant (or pseudo relevant) to a topic. However, these models assume that ...
SIGIR
2006
ACM
15 years 4 months ago
2006
ACM
Search algorithms incorporating some form of topic model have a long history in information retrieval. For example, cluster-based retrieval has been studied since the 60s and has ...
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ICCV
2009
IEEE
16 years 3 months ago
2009
IEEE
This paper addresses the problem of fully automated
mining of public space video data. A novel Markov Clustering
Topic Model (MCTM) is introduced which builds on
existing Dynami...
NIPS
2008
14 years 11 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...