Sentence examples for over the inference from inspiring English sources

During our experiments, we also recorded rules' firing percentage and the result showed that the extracted rule-base used a subset of fewer more concentrated rules that contributed more frequently and consistently over the inference operations, resulting in better control stability than the expert derived rule-base.

If one neglects potential problems linked with over-parametrization, the inferences of the best model should be preferentially trusted compared to a model that fails to account for an important feature of a data set.

Therefore, the number of prior network connections within the inferred network should not be considered as a strict measure of the accuracy of the algorithm, instead it is a relative indication of the information provided within the experimental data that is consistent with the prior network, while taking into account the trade-off of generalization versus over-fitting by the inference algorithm.

The adaptive approach uses the knowledge gained from decisions made over time by the inference system.

However, TS2 analysis did not improve the global likelihood of the inference over TS1.

Over the course of the inference and model selection processes, this process identifies those models that are likely to yield sampled variances most comparable to the data.

ANNs have the advantage over the fuzzy inference systems that knowledge is automatically gained during the training process by updating the connection weights between neurons [21].

Our experimental results confirm that our new algorithms provide significant improvements over the base inference algorithms, and support our analysis of the performance of refinement algorithms under different models of gene duplications and losses.

Whewell's view of induction has the advantage over Mill's of allowing the inference to unobservable properties and entities.

Analysis of what is permitted in the inference process over D will be expanded in the next section, where we analyse how the update policies and the hierarchical structure of an NRDR knowledge base translate into a number of constraints on the resultant default theory (D, W).

Since we were unable to find a method to optimally set our sparsity parameter, we evaluated the inference accuracy over all sparsity levels (except self-interactions were always non-zero).