Learning with the Minimum Description Length Principle [[electronic resource] /] / by Kenji Yamanishi |
Autore | Yamanishi Kenji |
Edizione | [1st ed. 2023.] |
Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
Descrizione fisica | 1 online resource (352 pages) |
Disciplina | 005.73 |
Soggetto topico |
Data structures (Computer science)
Information theory Machine learning Data Structures and Information Theory Machine Learning |
ISBN | 981-9917-90-5 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Information and Coding -- Parameter Estimation -- Model Selection -- Latent Variable Model Selection -- Sequential Prediction -- MDL Change Detection -- Continuous Model Selection -- Extension of Stochastic Complexity -- Mathematical Preliminaries. |
Record Nr. | UNISA-996550557803316 |
Yamanishi Kenji | ||
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. di Salerno | ||
|
Learning with the Minimum Description Length Principle [[electronic resource] /] / by Kenji Yamanishi |
Autore | Yamanishi Kenji |
Edizione | [1st ed. 2023.] |
Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
Descrizione fisica | 1 online resource (352 pages) |
Disciplina | 005.73 |
Soggetto topico |
Data structures (Computer science)
Information theory Machine learning Data Structures and Information Theory Machine Learning |
ISBN | 981-9917-90-5 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Information and Coding -- Parameter Estimation -- Model Selection -- Latent Variable Model Selection -- Sequential Prediction -- MDL Change Detection -- Continuous Model Selection -- Extension of Stochastic Complexity -- Mathematical Preliminaries. |
Record Nr. | UNINA-9910746090603321 |
Yamanishi Kenji | ||
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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