Examples of using A classifier in English and their translations into Chinese
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Political
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Ecclesiastic
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Programming
The lesson of this example is not to use the training set to test a classifier that is based on it.
Train a classifier with semi-supervised learning(where the classifier learns from both labeled and unlabeled data… and with GANs, also learns from completely imaginary data).
Train a classifier with semi-supervised learning(where the classifier learns from both labeled and unlabeled data… and with GANs, also learns from completely imaginary data).
Like C4.5, CART is a classifier.
Like C4.5, CART is a classifier.
Logistic regression can also be considered a classifier.
Building a classifier in 2 or 3 dimensions is easy;
Any Class in the underlying ontology can be used as a classifier;
Evaluating a classifier is often much more difficult than evaluating a regression algorithm.
This enables us to compare sentence representations and feed them directly into a classifier.
This enables us to compare sentence representations and feed them directly into a classifier.
Imagine you need a classifier that determines which images in a collection represent a daisy.
Representation: A classifier must be represented in some formal language that the computer can handle.
For our“final” version, we will combine our neural network with a classifier.
Download the iris data set and train a classifier(“learn by doing!”).
Suppose we are building a classifier that says whether a text is about sports or not.
Representation: A classifier must be represented in some formal language that the computer can handle.
This works just like a classifier: it gives a probability distribution over all the possible classes.
He settled on building a classifier to detect if fighter pilots were losing consciousness in their airplanes.
While there was no evidence of mining activity, a classifier, rotary separator and jig have appeared on site.