Supervised learning definition
Examples of Supervised learning in a sentence
Including: • Supervised learning, where observations contain input/output pairs (also known as "labelled data"); • Unsupervised learning (where labels are omitted); and • Reinforcement learning (where evaluations are given of how good or bad a situation is).
Supervised learning experience in an industry setting is an important educational component for many professional technical programs.
Including: Supervised learning, where observations contain input/output pairs (also known as "labelled data"); Unsupervised learning (where labels are omitted); and Reinforcement learning (where evaluations are given of how good or bad a situation is).
Supervised learning from game records has been quite successful, and is used in some top-level Go programs such as Zen or Crazy Stone.
Supervised learning is the most common method thus far, and is suitable for training an algorithm in the laboratory.
Supervised learning algorithms use the annotation guidance in the training data to draw conclusions about the input data.
Supervised learning has been extensively utilized for channel estimation and spectrum sensing.
Supervised learning and hybrid intelligence approaches are the more extensive and costly methods but result in more qualitative systems that are relatively better in problem solving techniques and capable of achieving their goals much faster (▇▇▇▇▇▇▇▇▇ & ▇▇▇▇▇▇, 2017; ▇▇▇▇▇▇ et al., 2017).
To compare RL with the most popular categories in current machine learning research field, i.e., supervised learning and unsupervised learning, we give a general review of them, as follows • Supervised learning learns from a training set of labeled examples to model relationships and dependencies between the target prediction output and the input features [92].
Supervised learning can be realized through different algorithms such as decision tree, support vector machines, etc.