518 search results - page 32 / 104 » Learning associative Markov networks |
122
Voted
UAI
2008
15 years 2 months ago
2008
Gaussian Markov random fields (GMRFs) are useful in a broad range of applications. In this paper we tackle the problem of learning a sparse GMRF in a high-dimensional space. Our a...
119
Voted
ACSC
2004
IEEE
15 years 4 months ago
2004
IEEE
This paper reports on an experiment to determine the optimal parameters for a speech recogniser that is part of a computer aided instruction system for assisting learners of Engli...
102
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ICALT
2010
IEEE
15 years 24 days ago
2010
IEEE
— This paper summarises the analyses of participant interaction within the Twitter microblogging environment. The study employs longitudinal probabilistic social network analysis...
107
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JMLR
2010
14 years 7 months ago
2010
This paper introduces a Bayesian algorithm for constructing predictive models from data that are optimized to predict a target variable well for a particular instance. This algori...
92
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NIPS
2007
15 years 2 months ago
2007
A semi-supervised multitask learning (MTL) framework is presented, in which M parameterized semi-supervised classifiers, each associated with one of M partially labeled data mani...