Exact(3)
Despite this obvious disadvantage, it was expected that the modelling improvement would outweigh the generalization problem for our task.
An alternative deflationist approach to the generalization problem is to attempt to show that, despite appearances, theories that only appeal to the instances of (ES-prop) nevertheless do have the resources to derive the problematic generalizations.
First, training mixture weights using the MCE algorithm can cause the poor generalization problem due to the insufficient training data which can be common in speaker identification frameworks employing large-sized GMMs.
Similar(5)
This may be a result of limited amounts of data used in training the classifiers which causes generalization problems when the number of features increases.
On the other hand, it can result in the over-generalization problem.
Table 1 Research on the matching problem and its generalizations Problem Sequential algorithms Distributed approximation exact Approximation algorithms (2-clique) unweighted: O(E) 1/2-approx.
In this section we are concerned with a generalization of problem (1.1) which includes both past and future dependence.
In this paper, we address the poor generalization ability problem of traditional auto-encoder on noise data, and propose a Lossless-constraint Denoising (LD) method, which can enhance the anti-noise ability and robustness of auto-encoders.
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