Sentence examples for a high bias from inspiring English sources

"a high bias" is a grammatically correct and commonly used phrase in written English.
It is often used to describe a tendency towards a particular belief or perspective that is not based on objective evidence or is unfairly influenced by personal opinions or prejudices. For example, "The researchers discovered a high bias towards traditional medicine in their study participants, despite the lack of scientific evidence for its effectiveness."

Exact(25)

Linear methods like Rocchio and Naive Bayes have a high bias for nonlinear problems because they can only model one type of class boundary, a linear hyperplane.

A high bias voltage enhances the hardness of Ti-coating and the rubber-coating adhesion, and guarantees a good tribological performance.

For the ascending overpass, the four processor versions have a high bias with respect to the measured ground data (from −0.10 m3/m3 to −0.12 m3/m3).

The SEM images show that the smooth carbon nanotips are formed under a high bias current and the carbon fractals can grow from the tips of the carbon nanotips under a low bias current.

Errors in simulated runup were composed of a high bias and gain error in mean water level, low bias in the infragravity swash, and low bias and gain errors in incident swash.

Only at a high bias voltage of − 300 V the coating on HNBR rubber became column-free whereas a bias voltage of − 100 V could already restrain the columnar structure and thus produced dense and smooth coatings on Si wafer.

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Similar(35)

The pin-on-disk experimental results demonstrate that a higher bias voltage (e.g. 23 kV) leads to better tribological properties compared to a lower bias.

Moreover, a larger EC means that a higher bias is required to switch the device.

The local supervisor has a higher bias against liquidation (supervisory capture) and a lower cost of getting local information (proximity).

Whereas the overall bias was small, some conditions were associated with higher bias: For example, higher correlations between the patterns of missing data in X1 and θ* caused a higher bias in the estimation of subpopulation differences.

Note that due to the observed suppression of absorption at low reverse bias (<2 V), a higher bias voltage was required for the as-grown device [2].

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