Examples of using Learning model in English and their translations into Slovak
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The Optimal Learning Model.
(2010) built a machine learning model that could predict the human classification of a galaxy based on the characteristics of the image.
Third, the researchers trained a supervised learning model to classify the sentiment of posts.
If this machine learning model could reproduce the human classifications with high accuracy, then it could be used by Galaxy Zoo researchers to classify an essentially infinite number of galaxies.
Strategic learning model.
Researchers interested in creating what I have called computer-assisted human computation systems(e.g.,systems that use human labels to train a machine learning model) might be interested in Shamir et al.
Third, they trained a supervised learning model to classify the sentiment of posts.
(2010) machine learning model were more complex than those in my toy example- for example, she used features like“de Vaucouleurs fit axial ratio”- and her model was not logistic regression, it was an artificial neural network.
Fourth, the researchers used the supervised learning model to estimate the sentiment of all the posts.
Building a machine learning model that can correctly reproduce the human classifications is itself a hard problem, but fortunately there are already excellent books dedicated to this topic(Hastie, Tibshirani, and Friedman 2009; Murphy 2012; James et al. 2013).
(2010) used the Galaxy Zoo classifications to train a machine learning model to do galaxy classification.
Then, the supervised learning model was used to impute the survey responses for everyone.
Rather than teach the four disciplines as separate subjects,STEM integrates them into a cohesive learning model based on real-world applications.
Finally, they used this machine learning model to estimate the sentiment of all 11 million posts.
Superlatives abound at Cerebras, the until-today stealthy next-generation silicon chipcompany looking to make training a deep learning model as quick as buying toothpaste from Amazon.
Next, the researchers built a supervised learning model to predict the survey responses from the person by feature matrix.
At that point, researchers need to build a computer-assisted human computation system in which humanclassifications are used to train a machine learning model that can then be applied to virtually unlimited amounts of data.
Next, the researchers built a supervised learning model to predict the survey responses from the person by feature matrix.
The estimates were accurate for chemotherapy regimens with palliative and curative purpose, for patients with cancer early and distant stage, as well as for patients receivingcircuit clinical trials, introduced a few years after learning model,"- they added.
First, for the people in both data sources, build a machine learning model that uses the big data source to predict survey answers.
Kids teach kids” philosophy is a learning model rooted in a foundation of compassion and trust and strives to nurture the Brave Kids' confidence in their own abilities, not only as artists, but as leaders in their communities.
Then, King andcolleagues used this hand-labeled data to estimate a machine learning model that could infer the sentiment of a post based on its characteristics.
More specifically, they used their machine learning model, which was trained on their sample of about 1,000 people, to predict the wealth of all 1.5 million people in the call records.
At that point, researchers need to build second-generation systems where humanclassifications are used to train a machine learning model that can then be applied to virtually unlimited amounts of data.
The aim of the project is to develop a learning model to train young Deaf people aged 18 to 35 to become museum guides for Deaf museum visitors.
More specifically, using the human classifications created by Galaxy Zoo,Banerji built a machine learning model that could predict the human classification of a galaxy based on the characteristics of the image.
They used the survey data to train a machine learning model to predict someone's wealth from their call data, and then they used this model to estimate the wealth of all 1.5 million customers.
Any intentionally diffused approach would have been a very poor learning model and this was clearly stated at the outset: ÔIt is neither feasible nor wise to pilot test all structures and instruments that will be developed… Ő(Phare 2000 Review).
This makes the proposed action unique in its effort to promote andimplement integrative learning model geared towards supporting individual entrepreneurial initiatives created with increased awareness of the social impact and the difference it makes for the community and society.