Examples of using Classification algorithms in English and their translations into Chinese
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Classification algorithms predict variables based on other factors within the database.
We will use a simple linear SVM classifier,but lots of classification algorithms could work.
Regression and classification algorithms let you draw inferences from data and build predictive models.
In order to increase customer retention ordevelop recommendation systems, classification algorithms are often used.
Note that even the best image classification algorithms still have practical limits on size invariance.
MNIST contains thousands of images of digits from 0 to 9,which researchers use to test their clustering and classification algorithms.
Don't confuse these classification algorithms with regression methods for using“regression” in its title.
R is best at statistical analysis, such as normal distribution,cluster classification algorithms, and regression analysis.
Mallet supports classification algorithms like maximum entropy, naive bayes and decision tree for classification. .
Naive Bayes is not a single algorithm, but a family of classification algorithms that share one common assumption:.
Numerous classification algorithms have been developed to transform the digital data automatically into useful thematic information.
In machine learning, we often use“black-box” methods-[classification algorithms called] random forests, or deeper learning approaches.
Four different classification algorithms, however, leaned the other way, spitting out labels that reflected the textures of the objects: elephant, can, clock.
Naive Bayes is not a single algorithm, but a family of classification algorithms that share one common assumption:.
For instance, managed classification algorithms are used to classify unique clients into good or bad prospects, for loan purposes, based on historical data.
Perhaps most infamously of all, in 2015,a software engineer reported that Google Photos' image classification algorithms identified African Americans as“gorillas.”.
Sometimes, there is a possibility of classification algorithms missing the object and in that case, they fail to categorize and report it to the system.
Perhaps most infamously of all, in 2015,a software engineer reported that Google Photos' image classification algorithms identified African Americans as“gorillas.”.
BernoulliNB implements the naive Bayes training and classification algorithms for data that is distributed according to multivariate Bernoulli distributions; i.
In the literature, many machine learning and pattern classification algorithms have been reported to give impressive results when applied to BCI data in offline analyses.
The team took images traditionally used to train classification algorithms and“painted” them in different styles, essentially stripping them of useful texture information.
You can do that by using any basic machine learning classification algorithm.
KNN, or k-Nearest Neighbors, is a classification algorithm.
This research implies the same data source and the classification algorithm cannot provide the best classification results for different land cover classes.
Logistic Regression is a Machine Learning classification algorithm that is used to predict the probability of a categorical dependent variable.
Logistic Regression is a classification algorithm traditionally limited to only two-class classification problems.
The classification algorithm was trained with data collected from three people, who each entered a random set of 70 four-digit pin numbers on a phone.