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JMLR
2010
121views more  JMLR 2010»
14 years 4 months ago
Efficient Collapsed Gibbs Sampling for Latent Dirichlet Allocation
Collapsed Gibbs sampling is a frequently applied method to approximate intractable integrals in probabilistic generative models such as latent Dirichlet allocation. This sampling ...
Han Xiao, Thomas Stibor
JAIR
2011
114views more  JAIR 2011»
14 years 27 days ago
Properties of Bethe Free Energies and Message Passing in Gaussian Models
We address the problem of computing approximate marginals in Gaussian probabilistic models by using mean field and fractional Bethe approximations. We define the Gaussian fracti...
Botond Cseke, Tom Heskes
CIARP
2011
Springer
13 years 10 months ago
Sentiment-Preserving Reduction for Social Media Analysis
Abstract. In this paper, we address the problem of opinion analysis using a probabilistic approach to the underlying structure of different types of opinions or sentiments around ...
Sergio Hernández, Philip Sallis
CORR
2008
Springer
127views Education» more  CORR 2008»
14 years 10 months ago
Comparing and Combining Methods for Automatic Query Expansion
Abstract. Query expansion is a well known method to improve the performance of information retrieval systems. In this work we have tested different approaches to extract the candid...
José R. Pérez-Agüera, Lourdes A...
SIGMOD
2008
ACM
138views Database» more  SIGMOD 2008»
15 years 10 months ago
Sampling time-based sliding windows in bounded space
Random sampling is an appealing approach to build synopses of large data streams because random samples can be used for a broad spectrum of analytical tasks. Users are often inter...
Rainer Gemulla, Wolfgang Lehner