791 search results - page 32 / 159 » Learning Probabilistic Ontologies with Distributed Parameter... |
106
Voted
ICDM
2007
IEEE
15 years 8 months ago
2007
IEEE
We present a machine learning methodology (models, algorithms, and experimental data) to discovering the agent dynamics that drive the evolution of the social groups in a communit...
147
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COLT
1998
Springer
15 years 6 months ago
1998
Springer
A new algorithm for learning one-variable pattern languages is proposed and analyzed with respect to its average-case behavior. We consider the total learning time that takes into...
97
Voted
CVPR
2003
IEEE
16 years 4 months ago
2003
IEEE
Inhomogeneous Gibbs model (IGM) [4] is an effective maximum entropy model in characterizing complex highdimensional distributions. However, its training process is so slow that th...
JMLR
2007
15 years 2 months ago
2007
We show that, given data from a mixture of k well-separated spherical Gaussians in Rd, a simple two-round variant of EM will, with high probability, learn the parameters of the Ga...
140
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SOFTWARE
2002
15 years 2 months ago
2002
We consider the problem of characterisation of sequences of heterogeneous symbolic data that arise from a common underlying temporal pattern. The data, which are subject to impreci...