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Figure from:A Tutorial on Energy-Based Learning

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Figure 11

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Related Figures (22)

Figure 15: The architecture of a system where two RBF units with centers U' and U? ar placed on top of the machine Gi, to produce distances d, and do.
Figure 15: The architecture of a system where two RBF units with centers U' and U? ar placed on top of the machine Gi, to produce distances d, and do.
Figure 18: Figure showing the direction of gradient of the negative log-likelihood loss in the feasible region R in the space defined by the two energies Ec and E;.
Figure 18: Figure showing the direction of gradient of the negative log-likelihood loss in the feasible region R in the space defined by the two energies Ec and E;.
Figure 20: A log domain factor graph for linear structured models, which include conditional random fields, support vector Markov models, and maximum margin Markov networks.
Figure 20: A log domain factor graph for linear structured models, which include conditional random fields, support vector Markov models, and maximum margin Markov networks.