Refining learning models in grammatical inference
Grammatical inference is a branch of computational learning theory that attacks the problem of learning grammatical models from string samples. In other words, grammatical inference tries to identify the computational models that generate the sample strings. In recent decade, due to the explosion of...
Saved in:
Main Author: | Wang, Xiangrui |
---|---|
Other Authors: | Narendra Shivaji Chaudhari |
Format: | Theses and Dissertations |
Language: | English |
Published: |
2008
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/13589 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Development of mobile application for analysis of electricity price plans (A)
by: Ong, John Rongxing
Published: (2019) -
Grammatical Inference: Algorithms and Applications
by: Jaime G. Carbonell, J\
Published: (2017) -
Modeling and verification of safety critical systems : a case study on pacemaker
by: Koo, Sheng Kiat
Published: (2014) -
A designer support framework for specification comprehensibility in automata-based discrete-event control design
by: Amrith Dhananjayan
Published: (2013) -
Study on probability or number theory
by: Zhuang, Yugui
Published: (2023)