Learning Machines: Foundations of Trainable Pattern-classifying SystemsMcGraw-Hill, 1965 - 137 sivua |
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Tulokset 1 - 3 kokonaismäärästä 10
Sivu 77
... Computer , Trans . IRE on Info . Theory , vol . IT - 2 , no . 3 , pp . 80-93 , September , 1956 . 4 Farley , B. , and W. Clark : Simulation of Self - organizing Systems by Digital Computer , Trans . IRE on Info . Theory , PGIT - 4 , pp ...
... Computer , Trans . IRE on Info . Theory , vol . IT - 2 , no . 3 , pp . 80-93 , September , 1956 . 4 Farley , B. , and W. Clark : Simulation of Self - organizing Systems by Digital Computer , Trans . IRE on Info . Theory , PGIT - 4 , pp ...
Sivu 113
... Computer , Trans . IRE on Info . Theory , PGIT - 4 , pp . 76-84 , September , 1954 . 2 Rosenblatt , F .: " Principles of Neurodynamics : Perceptrons and the Theory of Brain Mechanisms , " Spartan Books , Washington , D.C. , 1961 . 3 ...
... Computer , Trans . IRE on Info . Theory , PGIT - 4 , pp . 76-84 , September , 1954 . 2 Rosenblatt , F .: " Principles of Neurodynamics : Perceptrons and the Theory of Brain Mechanisms , " Spartan Books , Washington , D.C. , 1961 . 3 ...
Sivu 126
... Computers , vol . EC - 12 , no . 2 , pp . 137-141 , April , 1963 . Jakowatz , C. V. , R. L. Shuey , and G. M. White ... Computer Pattern Recognition Techniques : Electrocardiographic Diagnosis , Comm . of the ACM , vol . 5 , pp . 527 ...
... Computers , vol . EC - 12 , no . 2 , pp . 137-141 , April , 1963 . Jakowatz , C. V. , R. L. Shuey , and G. M. White ... Computer Pattern Recognition Techniques : Electrocardiographic Diagnosis , Comm . of the ACM , vol . 5 , pp . 527 ...
Sisältö
TRAINABLE PATTERN CLASSIFIERS | 1 |
PARAMETRIC TRAINING METHODS | 43 |
SOME NONPARAMETRIC TRAINING METHODS | 65 |
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adjusted apply assume bank called cells changes Chapter classifier cluster column committee machine components consider consists contains correction corresponding covariance decision surfaces define denote density depends described discriminant functions discussed distance distributions elements equal error-correction estimates example exist expression FIGURE fixed given implemented initial layered machine linear machine linearly separable lines majority matrix mean measurements modes negative networks nonparametric normal Note optimum origin parameters partition pattern hyperplane pattern space pattern vector pattern-classifying piecewise linear plane points positive presented probability problem properties PWL machine quadric regions respect response rule selection separable sequence side solution space step subsidiary discriminant Suppose terns theorem theory threshold training methods training patterns training procedure training sequence training subsets transformation values weight vectors X1 and X2 Y₁ zero
Viitteet tähän teokseen
A Probabilistic Theory of Pattern Recognition Luc Devroye,László Györfi,Gabor Lugosi Rajoitettu esikatselu - 1997 |