|
| << previous | next >> |
Journal description
All volumes of the corresponding journal
All issues of the corresponding volume
All articles of the corresponding issues
Details for article 94 of 127 found articles
| Title: |
Optimizing Hidden Markov Model for Failure Prediction– Comparison of Gaine’s optimization and Minimum message length Estimator |
| Author: |
N.Muthumani, Dr.Antony Selvadass Thanamani |
| Appeared in: |
International journal on computer science and engineering |
| Paging: | Volume 3 (2011) nr. 2 pages 892-898 |
| Year: |
2011 |
| Contents: |
Computer systems are prone to failures. Failures are caused by faults that occur in a system. As faults are unknown and cannot be measured, they produce error messages on their detection. The approach presented here is to create a Hidden Markov Model from the given data of error sequence and describes two techniques, Gaines algorithm and Minimum message length estimator to obtain a most appropriate Hidden Markov Model with optimized number of states. For a given sequence it is shown that both the two techniques ensure same optimal Hidden Markov Model with maximum probability. |
| Publisher: |
Engg Journals Publications (provided by DOAJ) |
| Source file: |
Elektronische Wetenschappelijke Tijdschriften |
Details for article 94 of 127 found articles
| << previous | next >> |