Examples of using Generalize in English and their translations into Chinese
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Political
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Ecclesiastic
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Programming
I don't think you can generalize.
So we cannot generalize about that.
So I do not think you can generalize.
Here we will generalize this idea.
A model trained on more data will naturally generalize better.
Can't generalize, see what you use.
Therefore, our results may not generalize to other populations.
We can generalize bracket and doubleBracket:.
To think is to forget differences, generalize, make abstractions.”.
It can generalize to new molecules that have never been made.".
We distort, delete, and generalize our communication.
This helps prevent overfitting and helps the model generalize better.
Thus, the results may not generalize to older populations.
How can you construct features orcurate data to help your model generalize?
But sometimes we generalize, and are completely and utterly wrong.
An extensive array of choices lets you generalize or select a focus.
We can imagine, abstract, generalize, range far beyond the narrow limits of local place and time.
Models are a tool to easily reference and generalize the world around us.
First of all, I think you can't generalize across the globe because there are a bunch of places where good news keeps coming.”.
But more importantly, they're capitalizing on their ability to adapt and generalize.
Our results improve and generalize some known results in the literature.
In addition, we generalize habitat characteristics and threats to this species on the wintering grounds, based on field surveys.
Features trained on ILSVRC-2012 generalize to the SUN-397 dataset.
The alternative is to develop and generalize a peasant organic agriculture and careful forest and land management, respectful of Indigenous peoples.
Our participants are people who seek knowledge andwant to structure and generalize their practical experience and are ready to work hard for that.
These formulas slightly generalize the basic judgements considered in term logic.
That said a problem with this is that the eigenvectors may not generalize well and they also assume the distributions of input patterns is stationary.
In part, this helps the model generalize predictions to new objects, not just those it's trained on.
The second set of methods generalize Fisher's linear discriminant analysis(IDA).