702 search results - page 56 / 141 » Learning Probabilistic Models of Relational Structure |
111
Voted
CIKM
2008
Springer
15 years 2 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...
MLDM
2005
Springer
15 years 6 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...
109
Voted
UAI
2000
15 years 1 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...
112
Voted
AAAI
2008
15 years 2 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...
102
Voted
VLDB
2002
ACM
15 years 5 days 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...