791 search results - page 122 / 159 » Learning Probabilistic Ontologies with Distributed Parameter... |
JUCS
2008
13 years 8 months ago
2008
Abstract: Information integration applications combine data from heterogeneous sources to assist the user in solving repetitive data-intensive tasks. Currently, such applications r...
ICASSP
2011
IEEE
13 years 11 days ago
2011
IEEE
In this paper, a novel algorithm for bandwidth reduction in adaptive distributed learning is introduced. We deal with diffusion networks, in which the nodes cooperate with each ot...
ICCV
2009
IEEE
13 years 6 months ago
2009
IEEE
Poisson regression models the noisy output of a counting function as a Poisson random variable, with a log-mean parameter that is a linear function of the input vector. In this wo...
CVPR
2011
IEEE
13 years 4 months ago
2011
IEEE
From conventional wisdom and empirical studies of annotated data, it has been shown that visual statistics such as object frequencies and segment sizes follow power law distributi...
ICML
2009
IEEE
14 years 9 months ago
2009
IEEE
The Conditional Restricted Boltzmann Machine (CRBM) is a recently proposed model for time series that has a rich, distributed hidden state and permits simple, exact inference. We ...