Bioinformatics the machine learning approach
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| Main Author | |
|---|---|
| Other Authors | |
| Format | Electronic eBook |
| Language | English |
| Published |
Cambridge, Mass. :
MIT Press,
©2001.
|
| Edition | 2nd ed. |
| Series | Adaptive computation and machine learning.
|
| Subjects | |
| Online Access | Full text |
| ISBN | 9780262255707 |
| Physical Description | 1 online zdroj (xxi, 452 pages) : illustrations. |
Cover
Table of Contents:
- Introduction
- Machine-learning foundations : the probabilistic framework
- Probabilistic modeling and inference : examples
- Machine learning algorithms
- Neural networks : the theory
- Neural networks : applications
- Hidden Markov models: the theory
- Hidden Markov models: applications
- Probabilistic graphical models in bioinformatics
- Probabilistic models of evolution : phylogenitc trees
- Stochastic grammars and linguistics
- Microarrays and gene expression
- Internet resources and public databases.