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Markov Models: Applications and Algorithms
This book discusses Markov models, beginning with an explanation of what they are to familiarize the reader with the basics of states, processes, transitions, and more. It covers various algorithms used in Markov models and how to apply them when modeling systems. The book explores the wide range of fields where Markov models are applied, including dynamic system modeling and diagnostics for identifying faults, as well as their use in exploring three-dimensional protein structure. It also delves into the use of Markov models in neuroscience and their application in ECG characterization. Topics covered in the book include Understanding Markov Models, Algorithms, Dynamic System Modeling and Diagnosis, Exploration of Three-Dimensional Protein Structure, Markov Models in Neuroscience, and ECG Characterization.
product information:
| Attribute | Value | ||||
|---|---|---|---|---|---|
| publication_date | December 5, 2017 | ||||
| language | English | ||||
| file_size | 1611 KB | ||||
| simultaneous_device_usage | Unlimited | ||||
| text_to_speech | Enabled | ||||
| screen_reader | Supported | ||||
| enhanced_typesetting | Enabled | ||||
| x_ray | Not Enabled | ||||
| word_wise | Not Enabled | ||||
| sticky_notes | On Kindle Scribe | ||||
| print_length | 42 pages | ||||
| best_sellers_rank | #764,295 in Kindle Store (See Top 100 in Kindle Store) #59 in One-Hour Science & Math Short Reads #97 in One-Hour Computers & Technology Short Reads #165 in Neural Networks | ||||
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