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CN2 algorithm information


The CN2 induction algorithm is a learning algorithm for rule induction.[1] It is designed to work even when the training data is imperfect. It is based on ideas from the AQ algorithm and the ID3 algorithm. As a consequence it creates a rule set like that created by AQ but is able to handle noisy data like ID3.

  1. ^ Clark, P. and Niblett, T (1989) The CN2 induction algorithm. Machine Learning 3(4):261-283.

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CN2 algorithm

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The CN2 induction algorithm is a learning algorithm for rule induction. It is designed to work even when the training data is imperfect. It is based on...

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CN2

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Outline of machine learning

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recurrent backpropagation ALOPEX Backpropagation Bootstrap aggregating CN2 algorithm Constructing skill trees Dehaene–Changeux model Diffusion map Dominance-based...

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Rule induction

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Programming Boolean decomposition (Feldman) Some rule induction algorithms are: Charade Rulex Progol CN2 Evangelos Triantaphyllou; Giovanni Felici (10 September...

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Astronomical seeing

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rapidly The distribution of atmospheric seeing through the atmosphere (the CN2 profile described below) causes the image quality in adaptive optics systems...

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Other large projects included the ESPRIT Machine Learning Toolbox developing CN2 and electrophoretic gel analysis with Unilever. In 1984, the institute worked...

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for all |k| ≤ 1. To speed up computation further, the relation cn + 1 = cn2/4an + 1 can be used. Furthermore, if k2 = λ(i√r) and r ∈ Q + {\displaystyle...

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Cnoidal wave

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surface elevation in a cnoidal wave is computed. Note that η2 = −(1/λ) 0∫λ H cn2(ξ/Δ|m) dx, cn(ξ/Δ|m)  = cos ψ(ξ) and λ = 2 Δ K(m), so 1 λ ∫ 0 λ η 2 d x =...

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