Examples of using Unsupervised in English and their translations into Korean
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Programming
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Computer
No longer are children able to spend time with friends unsupervised, explore their community or hang around in groups without being viewed with suspicion.
Unsupervised learning is utilized in intelligent profiling to discover parallels between a manufacturer's most valuable customers.
Unsupervised learning can be a goal in itself(discovering hidden patterns in the data)
Unsupervised learning can be a goal in itself(discovering hidden patterns in data)
The example describes an agent which uses unsupervised training to learn about an unknown environment.
On the other hand, machine learning also employs data mining methods as“unsupervised learning” or as a preprocessing step to improve learner accuracy.
Clearly set out the company's funds transfer procedure so that no employee is able to make a transfer to a third-party account unsupervised.
Big data security analytics and unsupervised machine learning surface unusual and highly risky behavior.
Unsupervised learning is used when the problem requires a massive amount of unlabeled data.
Machine learning techniques include both unsupervised and supervised learning.
For 24 weeks after treatment, the active group continued unsupervised home exercise while the sham group self-applied gel 3 times weekly.
Too much unsupervised computer work may cause vision problems for kids.
The desktop rugged metal keyboard is constructed to survive in exposed, unsupervised, public environments,
Students will be unsupervised outside lesson times and the time spent at homestay.
At this age, teenagers desire their own social media accounts and demand privacy and unsupervised online time.
I also really need to consider whether my client is ready for unsupervised visits.
Machine Learning is the common term for supervised learning methods and originates from artificial intelligence, whereas KDD and data mining have a larger focus on unsupervised methods and stronger connection to business use.
Aluate Your Dialogue System: An Empirical Study of Unsupervised Evaluation Metrics for Dialogue Response Generation researchers find that none of the commonly used metrics really correlate with human judgment.
In fact, unsupervised learning is becoming increasingly important as the algorithms get better because it can be used without having to label the data with the correct answer.
One-class learning, or unsupervised SVM, aims to separate data from the origin in the high-dimensional predictor space(not the original predictor space), and is an algorithm used for outlier detection.