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Structured k-Nearest Neighbours is a machi … Structured k-Nearest Neighbours is a machine learning algorithm that generalizes the k-Nearest Neighbors (kNN) classifier.Whereas the kNN classifier supports binary classification, multiclass classification and regression, the Structured kNN (SkNN) allows training of a classifier for general structured output labels. As an example, a sample instance might be a natural language sentence, and the output label is an annotated parse tree. Training a classifier consists of showing pairs of correct sample and output label pairs. After training, the structured kNN model allows one to predict for new sample instances the corresponding output label; that is, given a natural language sentence, the classifier can produce the most likely parse tree.er can produce the most likely parse tree.
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https://github.com/generall/sknn-scala +
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http://dbpedia.org/resource/Category:Machine_learning_algorithms +
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| rdfs:comment |
Structured k-Nearest Neighbours is a machi … Structured k-Nearest Neighbours is a machine learning algorithm that generalizes the k-Nearest Neighbors (kNN) classifier.Whereas the kNN classifier supports binary classification, multiclass classification and regression, the Structured kNN (SkNN) allows training of a classifier for general structured output labels.fier for general structured output labels.
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| rdfs:label |
Structured kNN
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