Grammatical inference : algorithms, routines and applications
This book focuses on grammatical inference, presenting classic and modern methods of grammatical inference from the perspective of practitioners. To do so, it employs the Python programming language to present all of the methods discussed. Grammatical inference is a field that lies at the intersecti...
Saved in:
| Main Author | |
|---|---|
| Format | Electronic eBook |
| Language | English |
| Published |
Cham, Switzerland :
Springer,
2017.
|
| Series | Studies in computational intelligence ;
v. 673. |
| Subjects | |
| Online Access | Full text |
| ISBN | 9783319468013 9783319468006 |
| ISSN | 1860-949X ; |
| Physical Description | 1 online resource (xi, 145 pages) : illustrations |
Cover
Table of Contents:
- Introduction
- State Merging Algorithms
- Partition-Based Algorithms
- Substring-Based Algorithms
- Identification Using Mathematical Modeling
- A Decomposition-Based Algorithm
- An Algorithm Based on a Directed Acyclic Word Graph
- Applications of GI Methods in Selected Fields
- A.A Quick Introduction to Python
- B. Python's Tools for Automata, Networks, Genetic Algorithms, and SAT Solving
- C. OML and its Usage in IronPython
- References.