Contatto
Come acquistare
Consegna
Guida all'acquisto
Incremental Version-Space Merging: A General Framework for Concept Learning
Inglese
263 b
30 giorni per il reso
I clienti hanno acquistato anche
/
In brossura
27.89
€
/
Calendario
56.39
€
/
In brossura
22.99
€
/
In brossura
56.19
€
/
In brossura
17.89
€
/
In brossura
109.99
€
One of the most enjoyable experiences in science is hearing a simple but novel idea which instantly rings true, and whose consequences then begin to unfold in unforeseen directions. For me, this book presents such an idea and several of its ramifications. This book is concerned with machine learning. It focuses on a ques tion that is central to understanding how computers might learn: "how can a computer acquire the definition of some general concept by abstracting from specific training instances of the concept?" Although this question of how to automatically generalize from examples has been considered by many researchers over several decades, it remains only partly answered. The approach developed in this book, based on Haym Hirsh's Ph.D. dis sertation, leads to an algorithm which efficiently and exhaustively searches a space of hypotheses (possible generalizations of the data) to find all maxi mally consistent hypotheses, even in the presence of certain types of incon sistencies in the data. More generally, it provides a framework for integrat ing different types of constraints (e.g., training examples, prior knowledge) which allow the learner to reduce the set of hypotheses under consideration.
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
7.99
€
/
In brossura
15.39
€
/
In brossura
83.09
€
Ciao! Sono Libroamiko, il tuo consulente di libri.
Come posso aiutarti?