Contact
How to shop
Delivery
Shopping guide
Optimal Prototype Selection for Efficient Pattern Classification
Techniques and Applications
English
193 b
Up to 30 days for returns
Customers also purchased
/
Paperback
15 192
Ft
/
Paperback
9 692
Ft
This book deals with the task of prototype selection from the training set in the context of supervised learning. When the training set is large,use of the entire training set is often time-consuming and wasteful. In such cases, reducing the training set could be quite helpful. Prototype selection is also useful when the training set is too large for the problem at hand due to redundancies and unnecessary samples. In this case, the use of prototype selection can result in a higher classification accuracy. Prototype selection either means selecting a subset of the training set or selecting some prototypes which have been derived from the training set. The selection of prototypes entails answering questions, such as, how many prototypes to choose, whether to choose a subset of training patterns or not, which prototypes to choose, etc. These issues have been addressed in this book.
About the book
English
Give this book today
It's easy
1 Add to cart and choose Deliver as present at the checkout 2 We'll send you a voucher 3 The book will arrive at the recipient's addressYou might also be interested in
/
Paperback
16 416
Ft
Hi! I'm Libroamiko, your book advisor.
How can I help you?