Info
Boosting : foundations and algorithms / / Robert E. Schapire and Yoav Freund
| Boosting : foundations and algorithms / / Robert E. Schapire and Yoav Freund |
| Autore | Schapire Robert E. |
| Pubbl/distr/stampa | Cambridge, Massachusetts : , : MIT Press, , c2012 |
| Descrizione fisica | 1 online resource (544 p.) |
| Disciplina | 006.3/1 |
| Altri autori (Persone) | FreundYoav |
| Collana | Adaptive computation and machine learning series |
| Soggetto topico |
Boosting (Algorithms)
Supervised learning (Machine learning) |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-280-67835-6
9786613655288 0-262-30118-0 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Foundations of machine learning -- Using AdaBoost to minimize training error -- Direct bounds on the generalization error -- The margins explanation for boosting's effectiveness -- Game theory, online learning, and boosting -- Loss minimization and generalizations of boosting -- Boosting, convex optimization, and information geometry -- Using confidence-rated weak predictions -- Multiclass classification problems -- Learning to rank -- Attaining the best possible accuracy -- Optimally efficient boosting -- Boosting in continuous time. |
| Record Nr. | UNINA-9910260629203321 |
Schapire Robert E.
|
||
| Cambridge, Massachusetts : , : MIT Press, , c2012 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Boosting : foundations and algorithms / / Robert E. Schapire and Yoav Freund
| Boosting : foundations and algorithms / / Robert E. Schapire and Yoav Freund |
| Autore | Schapire Robert E. |
| Pubbl/distr/stampa | Cambridge, : The MIT Press, 2012 |
| Descrizione fisica | 1 online resource (544 p.) |
| Disciplina | 006.3/1 |
| Altri autori (Persone) | FreundYoav |
| Collana | Adaptive computation and machine learning series |
| Soggetto topico |
Boosting (Algorithms)
Supervised learning (Machine learning) |
| Soggetto non controllato |
Artificial intelligence
Algorithms and data structures |
| ISBN |
0-262-30039-7
1-280-67835-6 9786613655288 0-262-30118-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Foundations of machine learning -- Using AdaBoost to minimize training error -- Direct bounds on the generalization error -- The margins explanation for boosting's effectiveness -- Game theory, online learning, and boosting -- Loss minimization and generalizations of boosting -- Boosting, convex optimization, and information geometry -- Using confidence-rated weak predictions -- Multiclass classification problems -- Learning to rank -- Attaining the best possible accuracy -- Optimally efficient boosting -- Boosting in continuous time. |
| Record Nr. | UNINA-9910529509803321 |
|
Schapire Robert E.
|
||
| Cambridge, : The MIT Press, 2012 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||