Screen LibraryMachine learning paradigms : theory and application /
Saved in:
| Group Author: | |
|---|---|
| Published: |
Springer,
|
| Publisher Address: | Cham : |
| Publication Dates: | [2019] |
| Literature type: | Book |
| Language: | English |
| Series: |
Studies in computational intelligence,
volume 801 |
| Subjects: | |
| Carrier Form: | ix, 474 pages : illustrations (some color) ; 24 cm. |
| Bibliography: | Includes bibliographical references. |
| ISBN: |
9783030023560 3030023567 |
| Index Number: | Q325 |
| CLC: | TP181 |
| Call Number: | TP181/M149-11 |
| Contents: | Part I: Machine Learning in Feature Selection -- Hybrid Feature Selection Method Based On The Genetic Algorithm And Pearson Correlation Coefficient -- Weighting Attributes and Decision Rules through Rankings and Discretisation Parameters -- Greedy Selection of Attributes to be Discretised -- Part II: Machine Learning in Classification and Ontology -- Machine learning for Enhancement Land Cover and Crop Types Classification. |