Sentence examples for biased learning from inspiring English sources

For example, the Random Forest classifier creates many of the minority concepts to avoid the biased learning.

This bias leads to biased learning unless appropriately taken into account, as the effect of reference linkages from the dominant GO term "protein biosynthesis" is quite strong (Figures 1 and 5).

This, on one hand, breaks the theory of noise injection so that the improved generalization capability is not guaranteed, and on the other hand, it results in biased learning towards the white noise-corrupted speech patterns that are largely different from the ones that are observed in speech signals corrupted by noises of cars and cafeterias.

The underlying principle is bias learning based on probable approximately correct learning (PAC learning) [79].

Similar arguments apply for the six largest experiments (totalling 322 arrays) indicating that these large experiments contribute diversity of expression and will not therefore bias learning algorithm outputs.

The purpose is to have a consistent backpropagation signal that updates the weights connected to the tissue inputs and bias learning towards the event with large tissue variability early on before overfitting occurs.

Secondly, the number of non-interaction sites is much more than interaction sites, which leads to a sample imbalance problem, and hence biased machine learning model with preference to non-interaction sites.

Indeed, as discussed above, the learning process in the current study was probably triggered by observation, indicating that any form of habit formation would thus be based on socially biased (individual) learning (Fragaszy & Visalberghi, 2004).

As facilitator I distinguished between racism, systematic discrimination and oppression based on real or imagined inherent group differences, and biases, learned prejudices that all people have that may or may not affect attitudes and behavior towards others.

Filtering errors and biases learned during curation can be used to improve filtering (56).

Treatments were designed to test for two widely discussed forms of biased social learning: a tendency to imitate success and a tendency to follow the majority.