702 search results - page 56 / 141 » Learning Probabilistic Models of Relational Structure |
155
Voted
CIKM
2008
Springer
15 years 7 months ago
2008
Springer
We propose a novel probabilistic method based on the Hidden Markov Model (HMM) to learn the structure of a Latent Variable Model (LVM) for query language modeling. In the proposed...
136
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MLDM
2005
Springer
15 years 10 months ago
2005
Springer
We propose an unsupervised, probabilistic method for learning visual feature hierarchies. Starting from local, low-level features computed at interest point locations, the method c...
148
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UAI
2000
15 years 6 months ago
2000
In this paper we address the problem of learning the structure of a Bayesian network in domains with continuous variables. This task requires a procedure for comparing different c...
154
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AAAI
2008
15 years 7 months ago
2008
Matrix factorization algorithms are frequently used in the machine learning community to find low dimensional representations of data. We introduce a novel generative Bayesian pro...
141
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VLDB
2002
ACM
15 years 4 months ago
2002
ACM
Whereas traditional databases manage only deterministic information, many applications that use databases involve uncertain data. This paper presents a Probabilistic Tree Data Bas...