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Results tagged with supervised-learning
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user 48537
Supervised learning is the machine learning task of inferring a function from labeled training data. The training data consist of a set of training examples. In supervised learning, each example is a pair consisting of an input object (typically a vector) and a desired output value (also called the supervisory signal). A supervised learning algorithm analyzes the training data and produces an inferred function, which can be used for mapping new examples.
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online semi-supervised learning with incomplete input data
Let's assume that one has the following inputs and corresponding outputs:
x1 = (a,b,c) with corresponding output y1, which is a number.
x2 = (d,e,?) with unknown output
x3 = (?,?,g) with known output …
