Approximation methods for efficient learning of Bayesian networks [[electronic resource] /] / Carsten Riggelsen |
Autore | Riggelsen Carsten |
Pubbl/distr/stampa | Amsterdam ; ; Washington, DC, : IOS Press, c2008 |
Descrizione fisica | 1 online resource (148 p.) |
Disciplina |
519.5
519.5/42 |
Collana |
Frontiers in artificial intelligence and applications
Dissertations in artificial intelligence |
Soggetto topico |
Bayesian statistical decision theory
Machine learning Neural networks (Computer science) |
Soggetto genere / forma | Electronic books. |
ISBN |
6611733337
1-281-73333-4 9786611733339 1-60750-298-4 600-00-0346-3 1-4337-1131-1 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Title page; Contents; Foreword; Introduction; Preliminaries; Learning Bayesian Networks from Data; Monte Carlo Methods and MCMC Simulation; Learning from Incomplete Data; Conclusion; References |
Record Nr. | UNINA-9910453283703321 |
Riggelsen Carsten | ||
Amsterdam ; ; Washington, DC, : IOS Press, c2008 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Approximation methods for efficient learning of Bayesian networks [[electronic resource] /] / Carsten Riggelsen |
Autore | Riggelsen Carsten |
Pubbl/distr/stampa | Amsterdam ; ; Washington, DC, : IOS Press, c2008 |
Descrizione fisica | 1 online resource (148 p.) |
Disciplina |
519.5
519.5/42 |
Collana |
Frontiers in artificial intelligence and applications
Dissertations in artificial intelligence |
Soggetto topico |
Bayesian statistical decision theory
Machine learning Neural networks (Computer science) |
ISBN |
6611733337
1-281-73333-4 9786611733339 1-60750-298-4 600-00-0346-3 1-4337-1131-1 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Title page; Contents; Foreword; Introduction; Preliminaries; Learning Bayesian Networks from Data; Monte Carlo Methods and MCMC Simulation; Learning from Incomplete Data; Conclusion; References |
Record Nr. | UNINA-9910782592403321 |
Riggelsen Carsten | ||
Amsterdam ; ; Washington, DC, : IOS Press, c2008 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Approximation methods for efficient learning of Bayesian networks / / Carsten Riggelsen |
Autore | Riggelsen Carsten |
Edizione | [1st ed.] |
Pubbl/distr/stampa | Amsterdam ; ; Washington, DC, : IOS Press, c2008 |
Descrizione fisica | 1 online resource (148 p.) |
Disciplina |
519.5
519.5/42 |
Collana |
Frontiers in artificial intelligence and applications
Dissertations in artificial intelligence |
Soggetto topico |
Bayesian statistical decision theory
Machine learning Neural networks (Computer science) |
ISBN |
6611733337
1-281-73333-4 9786611733339 1-60750-298-4 600-00-0346-3 1-4337-1131-1 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Title page; Contents; Foreword; Introduction; Preliminaries; Learning Bayesian Networks from Data; Monte Carlo Methods and MCMC Simulation; Learning from Incomplete Data; Conclusion; References |
Record Nr. | UNINA-9910822048103321 |
Riggelsen Carsten | ||
Amsterdam ; ; Washington, DC, : IOS Press, c2008 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|