Support vector machines and evolutionary algorithms for classification : single or together? / Catalin Stoean, Ruxandre Stoean.
When discussing classification, support vector machines are known to be a capable and efficient technique to learn and predict with high accuracy within a quick time frame. Yet, their black box means to do so make the practical users quite circumspect about relying on it, without much understanding...
Saved in:
Online Access: |
Full Text (via Springer) |
---|---|
Main Authors: | , |
Format: | eBook |
Language: | English |
Published: |
Cham [Switzerland] :
Springer,
[2014]
|
Series: | Intelligent systems reference library ;
v. 69. |
Subjects: |
Internet
Full Text (via Springer)Online
Call Number: |
QA9.58
|
---|---|
QA9.58 | Available |