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Kernel perceptron

In machine learning, the kernel perceptron is a variant of the popular perceptron learning algorithm that can learn kernel machines, i.e. non-linear classifiers that employ a kernel function to compute the similarity of unseen samples to training samples. The algorithm was invented in 1964, making it the first kernel classification learner.

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Variants and extensions

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Kernel perceptron

Nodes28
Edges27
Triples6
Avg. degree1.93
Density0.071429
Components1

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Kernel perceptron

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related to Variants and extensions · 5
Kernel perceptron → Initially, It, Moreover, One, The
is a · 1
Kernel perceptron → variant of the popular perceptron learning algorithm that can learn kernel machines

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Important terminology

kernel perceptron algorithm samples function training vector weight αi making dual learning learn machines classification online linear used examples xi

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SubjectPredicateObjectConfidenceSrc
Kernel perceptronis avariant of the popular perceptron learning algorithm that can learn kernel machines0.90text
Kernel perceptronrelated to Variants and extensionsOne0.60section
Kernel perceptronrelated to Variants and extensionsInitially0.60section
Kernel perceptronrelated to Variants and extensionsMoreover0.60section
Kernel perceptronrelated to Variants and extensionsThe0.60section
Kernel perceptronrelated to Variants and extensionsIt0.60section

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