supervised learning उदाहरण वाक्य

उदाहरण वाक्य

1. A supervised learning algorithm, on the other hand, can label new points instantly, with very little computational cost.
2. This classifier is then applied to the unlabeled data to generate more labeled examples as input for the supervised learning algorithm.
3. In order for the problem of distribution learning to be more clear consider the problem of supervised learning as defined in.
4. A supervised learning algorithm analyzes the training data and produces an inferred function, which can be used for mapping new examples.
5. There is no single learning algorithm that works best on all supervised learning problems ( see the No free lunch theorem ).
6. The supervised learning paradigm is also applicable to sequential data ( e . g ., for speech and gesture recognition ).
7. For each pair of alternatives ( instances or labels ), a binary predicate can be learned by conventional supervising learning approach.
8. In the supervised learning approach the machine learning features used are Association Rule, K-nearest neighbor, and graph partitions.
9. Supervised learning methods are trained on a set of experimentally determined structures, however these methods highly depend on the training set used.
10. It is most commonly applied in artificial life, supervised learning algorithms, which require a syllabus of correct input-output pairs.