Contatto
Come acquistare
Consegna
Guida all'acquisto
Semi-Supervised Learning with Committees
Exploiting Unlabeled Data using Ensemble Learning Algorithms
Inglese
205 b
Fino a 30 giorni per il reso
I clienti hanno acquistato anche
/
In brossura
20.19
€
Supervised learning is a branch of artificial intelligence concerned with developing computer programs that automatically improve with experience through knowledge extraction from examples. Such learning approaches are particularly useful for tasks involving the automatic categorization, retrieval and extraction of knowledge from large collections of data such as text, images and videos. It builds predictive models from labeled data. However, labeling the training data is difficult, expensive, or time consuming, as it requires the effort of human annotators sometimes with specific domain experience. Semi-supervised learning (SSL) aims to minimize the cost of manual annotation by allowing the model to exploit part or all of the available unlabeled data. Semi-supervised learning and ensemble learning are two different paradigms that were developed almost in parallel. Semi-supervised learning tries to improve generalization performance by exploiting unlabeled data, while ensemble learning tries to achieve the same objective by constructing multiple predictors. This book concentrates on SSL with ensembles(committees).
Informazioni sul libro
Inglese
Regala questo libro oggi stesso
È facile
1 Aggiungi il libro al carrello e scegli la consegna come regalo 2 Ti invieremo subito il buono 3 Il libro arriverà all'indirizzo del destinatarioPotrebbe interessarti anche
/
In brossura
13.89
€
/
Rigido
40.69
€
/
In brossura
13.69
€
/
In brossura
36.99
€
/
In brossura
160.89
€
/
In brossura
11.19
€
Ciao! Sono Libroamiko, il tuo consulente di libri.
Come posso aiutarti?