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A Probabilistic Theory of Pattern Recognition [[electronic resource] /] / by Luc Devroye, Laszlo Györfi, Gabor Lugosi
| A Probabilistic Theory of Pattern Recognition [[electronic resource] /] / by Luc Devroye, Laszlo Györfi, Gabor Lugosi |
| Autore | Devroye Luc |
| Edizione | [1st ed. 1996.] |
| Pubbl/distr/stampa | New York, NY : , : Springer New York : , : Imprint : Springer, , 1996 |
| Descrizione fisica | 1 online resource (XV, 638 p.) |
| Disciplina | 519.2 |
| Collana | Stochastic Modelling and Applied Probability |
| Soggetto topico |
Probabilities
Pattern recognition Probability Theory and Stochastic Processes Pattern Recognition |
| ISBN | 1-4612-0711-8 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910480303603321 |
Devroye Luc
|
||
| New York, NY : , : Springer New York : , : Imprint : Springer, , 1996 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
A Probabilistic Theory of Pattern Recognition [[electronic resource] /] / by Luc Devroye, Laszlo Györfi, Gabor Lugosi
| A Probabilistic Theory of Pattern Recognition [[electronic resource] /] / by Luc Devroye, Laszlo Györfi, Gabor Lugosi |
| Autore | Devroye Luc |
| Edizione | [1st ed. 1996.] |
| Pubbl/distr/stampa | New York, NY : , : Springer New York : , : Imprint : Springer, , 1996 |
| Descrizione fisica | 1 online resource (XV, 638 p.) |
| Disciplina | 519.2 |
| Collana | Stochastic Modelling and Applied Probability |
| Soggetto topico |
Probabilities
Pattern recognition Probability Theory and Stochastic Processes Pattern Recognition |
| ISBN | 1-4612-0711-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910789071903321 |
|
Devroye Luc
|
||
| New York, NY : , : Springer New York : , : Imprint : Springer, , 1996 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
A Probabilistic Theory of Pattern Recognition / / by Luc Devroye, Laszlo Györfi, Gabor Lugosi
| A Probabilistic Theory of Pattern Recognition / / by Luc Devroye, Laszlo Györfi, Gabor Lugosi |
| Autore | Devroye Luc |
| Edizione | [1st ed. 1996.] |
| Pubbl/distr/stampa | New York, NY : , : Springer New York : , : Imprint : Springer, , 1996 |
| Descrizione fisica | 1 online resource (XV, 638 p.) |
| Disciplina | 519.2 |
| Collana | Stochastic Modelling and Applied Probability |
| Soggetto topico |
Probabilities
Pattern recognition systems Probability Theory Automated Pattern Recognition |
| ISBN | 1-4612-0711-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | A Probabilistic Theory of Pattern Recognition -- Editor's page -- A Probabilistic Theory of Pattern Recognition -- Copyright -- Preface -- Contents -- 1 Introduction -- 2 The Bayes Error -- 3 Inequalities and Alternate Distance Measures -- 4 Linear Discrimination -- 5 Nearest Neighbor Rules -- 6 Consistency -- 7 Slow Rates of Convergence -- 8 Error Estimation -- 9 The Regular Histogram Rule -- 10 Kernel Rules -- 11 Consistency of the k-Nearest Neighbor Rule -- 12 Vapnik -Chervonenkis Theory -- 13 Combinatorial Aspects of Vapnik -Chervonenkis Theory -- 14 Lower Bounds for Empirical Classifier Selection -- 15 The Maximum Likelihood Principle -- 16 Parametric Classification -- 17 Generalized Linear Discrimination -- 18 Complexity Regularization -- 19 Condensed and Edited Nearest Neighbor Rules -- 20 Tree Classifiers -- 21 Data- Dependent Partitioning -- 22 Splitting the Data -- 23 The Resubstitution Estimate -- 24 Deleted Estimates of the Error Probability -- 25 Automatic Kernel Rules -- 26 Automatic Nearest Neighbor Rules -- 27 Hypercubes and Discrete Spaces -- 28 Epsilon Entropy and Totally Bounded Sets -- 29 Uniform Laws of Large Numbers -- 30 Neural Networks -- 31 Other Error Estimates -- 32 Feature Extraction -- Appendix -- Notation -- References -- Author Index -- Subject Index. |
| Record Nr. | UNINA-9910959371503321 |
|
Devroye Luc
|
||
| New York, NY : , : Springer New York : , : Imprint : Springer, , 1996 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||