Contact
Cum să cumpăr
Livrare
Consilier de cumpărături
Incremental Version-Space Merging: A General Framework for Concept Learning
engleză
263 b
30 de zile pentru retur bunuri
Clienții au cumpărat de asemenea
/
Carte broșată
198.43
lei
/
Copertă tare
188.94
lei
/
Carte broșată
87.06
lei
/
Carte broșată
292.49
lei
/
Carte broșată
297.49
lei
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.
Informații despre carte
engleză
Dăruiește această carte chiar astăzi
Este foarte ușor
1 Adaugă cartea în coș și selectează Livrează ca un cadou 2 Îți vom trimite un voucher în schimb 3 Cartea va ajunge direct la adresa destinataruluiAr putea de asemenea, să te intereseze
/
Copertă tare
219.49
lei
/
Carte broșată
87.06
lei
