Examples of using Classifier in English and their translations into Chinese
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Political
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Ecclesiastic
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Programming
Using the movie review document classifier discussed in this chapter, generate a list of the 30 features that the classifier finds to be most informative.
We call our estimator instance cif, as it is a classifier.
Neural networks are not just another classifier, they represent the beginning of a fundamental shift in how we write software….
It will see how we can transform the Bayes Classifier into a linear and quadratic classifier to speed up our calculations.
You can watch a walk-through video of that tutorial, which uses Watson Natural Language Classifier to classify questions about weather.
For instance, she demoed how one could make an image classifier think that a picture of a penguin is actually a picture of frying pan.
For now, let's just test it out on some names that did not appear in its training data:>>> classifier.
Watson's natural language classifier, for instance, is designed to understand the intent of human statements, and it can be trained for specific purposes.
The line here is our separating boundary(because it separates out the labels)or classifier(we use it classify points).
There are already some algorithms like LIME: Local Interpretable Model-Agnostic Explanations, which can explain the predictions of any machine learning classifier.
Rather conveniently, it can be expressed as a function of a single parameter: the angle between the classification boundary and the nearest centroid classifier.
We could try to use methods such as Eigenfaces or Fisherfaces for feature extraction and pass the result to a non-deep-learning binary classifier.
That's followed by a convolutional layer with multiple filters, then a max-pooling layer, and finally a softmax classifier.
By transferring the learning from the classifier to the coloring network, the network can get a sense of what's in the picture.
(c) The use of a pixel-based, standard maximum-likelihood classifier is sufficient, although more sophisticated methods may provide better results.
He settled on building a classifier to detect if fighter pilots were losing consciousness in their airplanes.
No matter what you do for training, always test on the natural(stratified) distribution your classifier is going to operate upon.
As a whole, though, the classifier system is so complex that specialized classifier dictionaries have been published.
In the first step, a classifier is built describing a predetermined set of data classes or concepts.
In other words, a classifier that uses these 3 attributes will be more accurate than one that only uses the 2 attributes.