1622 search results - page 87 / 325 » Learning a Hidden Matching |
111
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UM
2007
Springer
15 years 9 months ago
2007
Springer
Predictive user models often require a phase of effortful supervised training where cases are tagged with labels that represent the status of unobservable variables. We formulate a...
134
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ICML
2010
IEEE
15 years 4 months ago
2010
IEEE
Learning temporal causal graph structures from multivariate time-series data reveals important dependency relationships between current observations and histories, and provides a ...
116
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ICPR
2008
IEEE
16 years 4 months ago
2008
IEEE
When a large amount of data are missing, or when multiple hidden nodes exist, learning parameters in Bayesian networks (BNs) becomes extremely difficult. This paper presents a lea...
137
Voted
ICML
2006
IEEE
16 years 4 months ago
2006
IEEE
We present a new unsupervised algorithm for training structured predictors that is discriminative, convex, and avoids the use of EM. The idea is to formulate an unsupervised versi...
125
Voted
ICASSP
2009
IEEE
15 years 10 months ago
2009
IEEE
We derive an efficient learning algorithm for model-based source separation for use on single channel speech mixtures where the precise source characteristics are not known a pri...