Learning Machines: Foundations of Trainable Pattern-classifying SystemsMcGraw-Hill, 1965 - 137 sivua |
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Tulokset 1 - 3 kokonaismäärästä 17
Sivu 20
... separable . Stated another way , a classification of X is linear and the subsets X1 , X2 , linearly separable if and only if linear discriminant functions g1 , 92 , exist such that gi ( X ) > gi ( X ) j = 1 , · • • 9 XR are · , 9R R ...
... separable . Stated another way , a classification of X is linear and the subsets X1 , X2 , linearly separable if and only if linear discriminant functions g1 , 92 , exist such that gi ( X ) > gi ( X ) j = 1 , · • • 9 XR are · , 9R R ...
Sivu 21
... separable , then X1 , X2 , XR are also pairwise linearly separable . 2.6 The threshold logic unit ( TLU ) If R = 2 , a linear machine employs a single linear discriminant function g ( X ) defined by g ( X ) = W1X1 + W2X2 + + waxa + wa + ...
... separable , then X1 , X2 , XR are also pairwise linearly separable . 2.6 The threshold logic unit ( TLU ) If R = 2 , a linear machine employs a single linear discriminant function g ( X ) defined by g ( X ) = W1X1 + W2X2 + + waxa + wa + ...
Sivu 107
... separable , and thus a two - layer machine suffices to perform the pattern dichotomization . 6.6 A sufficient condition for image - space linear separability Before stating and proving the sufficient condition it will be helpful to make ...
... separable , and thus a two - layer machine suffices to perform the pattern dichotomization . 6.6 A sufficient condition for image - space linear separability Before stating and proving the sufficient condition it will be helpful to make ...
Sisältö
TRAINABLE PATTERN CLASSIFIERS | 1 |
PARAMETRIC TRAINING METHODS | 43 |
SOME NONPARAMETRIC TRAINING METHODS | 65 |
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Viitteet tähän teokseen
A Probabilistic Theory of Pattern Recognition Luc Devroye,László Györfi,Gabor Lugosi Rajoitettu esikatselu - 1997 |