Articoli correlati a A Study on Markov Models and its Applications in Machine...
Risultati della ricerca per A Study on Markov Models and its Applications in Machine...
Foto dell'editore
A Study on Markov Models and its Applications in Machine Learning
Editore:
LAP Lambert Academic Publishing, 2026
ISBN 10: 6630094646
ISBN 13: 9786630094640
Nuovo
Brossura
Da: California Books, Miami, FL, U.S.A.
Valutazione del venditore 5 su 5 stelle
Condizione: New. Codice articolo I-9786630094640
Compra nuovo
EUR 78,20
Spedizione gratuita
Spedito in U.S.A.
Spedito in U.S.A.
Quantità: Più di 20 disponibili
Foto dell'editore
A Study on Markov Models and its Applications in Machine Learning
Da: PBShop.store US, Wood Dale, IL, U.S.A.
Valutazione del venditore 5 su 5 stelle
PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000. Codice articolo L2-9786630094640
Compra nuovo
EUR 79,82
Spedizione gratuita
Spedito in U.S.A.
Spedito in U.S.A.
Quantità: Più di 20 disponibili
Foto dell'editore
A Study on Markov Models and its Applications in Machine Learning
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
Valutazione del venditore 5 su 5 stelle
PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000. Codice articolo L2-9786630094640
Compra nuovo
EUR 78,03
Spedizione EUR 3,84
Spedito da Regno Unito a U.S.A.
Spedito da Regno Unito a U.S.A.
Quantità: Più di 20 disponibili
Foto dell'editore
A Study on Markov Models and its Applications in Machine Learning
Editore:
LAP LAMBERT Academic Publishing Jun 2026, 2026
ISBN 10: 6630094646
ISBN 13: 9786630094640
Nuovo
Taschenbuch
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
Valutazione del venditore 5 su 5 stelle
Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 120 pp. Englisch. Codice articolo 9786630094640
Compra nuovo
EUR 66,90
Spedizione EUR 23,00
Spedito da Germania a U.S.A.
Spedito da Germania a U.S.A.
Quantità: 2 disponibili
Immagini fornite dal venditore
A Study on Markov Models and its Applications in Machine Learning
Editore:
LAP LAMBERT Academic Publishing, 2026
ISBN 10: 6630094646
ISBN 13: 9786630094640
Nuovo
Taschenbuch
Da: preigu, Osnabrück, Germania
Valutazione del venditore 5 su 5 stelle
Taschenbuch. Condizione: Neu. A Study on Markov Models and its Applications in Machine Learning | Sripriya Muppidi (u. a.) | Taschenbuch | Englisch | 2026 | LAP LAMBERT Academic Publishing | EAN 9786630094640 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand. Codice articolo 135854734
Compra nuovo
EUR 56,45
Spedizione EUR 70,00
Spedito da Germania a U.S.A.
Spedito da Germania a U.S.A.
Quantità: 5 disponibili
Foto dell'editore
A Study on Markov Models and its Applications in Machine Learning (Paperback)
Editore:
LAP Lambert Academic Publishing, 2026
ISBN 10: 6630094646
ISBN 13: 9786630094640
Nuovo
Paperback
Da: CitiRetail, Stevenage, Regno Unito
Valutazione del venditore 5 su 5 stelle
Paperback. Condizione: new. Paperback. The work focuses on the study of Markov models and their applications in machine learning, particularly in data classification. Various machine learning classification techniques are reviewed and implemented using real-world datasets such as the Credit Card Dataset and Air Quality Index Dataset. Their performance is analyzed to understand their effectiveness in solving classification problems. The study investigates the application of Markov Decision Processes (MDPs) for classification tasks. MDPs provide a framework for decision-making under uncertainty and are applied to classify the selected datasets. The effectiveness of Hidden Markov Models (HMMs) in capturing probabilistic relationships and hidden patterns within data is also examined. HMM algorithms are implemented and used for data classification. In addition, the Expectation Maximization (EM) algorithm is studied and applied to classification problems. A comparative analysis of the various methods is carried out, highlighting their merits, demerits, and limitations. The concepts of misclassification and error bounds are also discussed to evaluate the accuracy and reliability of the classification models. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Codice articolo 9786630094640
Compra nuovo
EUR 83,44
Spedizione EUR 43,14
Spedito da Regno Unito a U.S.A.
Spedito da Regno Unito a U.S.A.
Quantità: 1 disponibili
Foto dell'editore
A Study on Markov Models and its Applications in Machine Learning
Editore:
LAP LAMBERT Academic Publishing Jun 2026, 2026
ISBN 10: 6630094646
ISBN 13: 9786630094640
Nuovo
Taschenbuch
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
Valutazione del venditore 5 su 5 stelle
Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware 120 pp. Englisch. Codice articolo 9786630094640
Compra nuovo
EUR 66,90
Spedizione EUR 60,00
Spedito da Germania a U.S.A.
Spedito da Germania a U.S.A.
Quantità: 1 disponibili
Foto dell'editore
A Study on Markov Models and its Applications in Machine Learning
Editore:
LAP LAMBERT Academic Publishing, 2026
ISBN 10: 6630094646
ISBN 13: 9786630094640
Nuovo
Taschenbuch
Da: AHA-BUCH GmbH, Einbeck, Germania
Valutazione del venditore 5 su 5 stelle
Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The work focuses on the study of Markov models and their applications in machine learning, particularly in data classification. Various machine learning classification techniques are reviewed and implemented using real-world datasets such as the Credit Card Dataset and Air Quality Index Dataset. Their performance is analyzed to understand their effectiveness in solving classification problems. The study investigates the application of Markov Decision Processes (MDPs) for classification tasks. MDPs provide a framework for decision-making under uncertainty and are applied to classify the selected datasets. The effectiveness of Hidden Markov Models (HMMs) in capturing probabilistic relationships and hidden patterns within data is also examined. HMM algorithms are implemented and used for data classification. In addition, the Expectation Maximization (EM) algorithm is studied and applied to classification problems. A comparative analysis of the various methods is carried out, highlighting their merits, demerits, and limitations. The concepts of misclassification and error bounds are also discussed to evaluate the accuracy and reliability of the classification models. Codice articolo 9786630094640
Compra nuovo
EUR 66,90
Spedizione EUR 60,99
Spedito da Germania a U.S.A.
Spedito da Germania a U.S.A.
Quantità: 1 disponibili