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In the Maximization step, the new parameter θ is obtained by optimizing the conditional expectation (Q(theta| theta_{-1})).
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The network structure is determined by greedily optimizing the conditional log-likelihood: where Pr[ x] is flat (i.e. Pr[ x=0]=Pr[ x=1]=0.5) since we sample foreground and background positions equally.
A discriminative training scheme, optimizing the conditional likelihood on the generative model, remains to be explored.
By optimizing the above weighted objective, the conditional probabilities of words with large weights will have more proportions to the entire objective.
OCS works by optimizing the genetic contribution (i.e. number of matings) of each selection candidate, conditional on EBV and average co-ancestry.
This problem was solved by optimizing the synthesis of ZnO.
These parameters have been estimated by optimizing the prediction process.
Effectiveness may be improved by optimizing the design of interventions.
Indeed, a previous study of detection behavior in an operantly conditioned yes/no-type task indicated that ferrets are capable of modifying their decision criterion on a trial-by-trial basis to optimize the reward probability, conditional upon the outcome of the previous trial (Alves-Pinto et al., 2012).
For a fixed value of β, we can use a slight modification of the algorithm in [21] for optimizing the CEC-TCQ codebook, by replacing the codeword entropies E{- log2P(b i )} by the conditional entropies E{- log2P (b i |Y)}, and by using a training sequence of (U n, Y n ) pairs.
The proposed ARTL framework will learn a classifier by simultaneously performing structural risk minimization [117], reducing the marginal and conditional distributions between the domains, and optimizing the manifold consistency of the marginal distribution.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com