Hidden markov models applications (96 Ergebnisse)

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Paperback or Softback. Zustand: New. Hidden Semi-Markov Models: Theory, Algorithms and Applications. Book.

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Zustand: New. Brand New ! Fast Delivery This is an International Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 6-10 days and we do have flat rate for up to 2LB. Extra shipping charges will be requested if the Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.…

Hardcover. Zustand: Gut. Ex-library with stamp and library-signature. GOOD condition, some traces of use. Ancien Exemplaire de bibliothèque avec signature et cachet. BON état, quelques traces d'usure. Ehem. Bibliotheksexemplar mit Signatur und Stempel. GUTER Zustand, ein paar Gebrauchsspuren. 60 ELL 9780387943640 Sprache: Englisch Gewicht in Gramm: 1150.…

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Paperback. Zustand: new. Paperback. BOOK DESCRIPTION Hidden Markov Models and AI: Sequential Data, Speech Recognition & NLP Applications VOL-1By Anshuman Mishra Artificial Intelligence today stands at the heart of technological transformation. From intelligent assistants and speech-to-text engines to autonomous systems, medical diagnostics, pattern recognition, fraud detection, cybersecurity, and natural language processing-AI technologies are increasingly grounded in the analysis of sequential data. Wherever events happen in time, wherever patterns unfold step-by-step, and wherever the present depends on the past, one family of mathematical models continues to play a foundational and irreplaceable role: Markov Models-especially Hidden Markov Models (HMMs).This book, "Hidden Markov Models and AI: Sequential Data, Speech Recognition & NLP Applications", is a comprehensive, modern, and deeply practical introduction to Markov Models and their powerful applications in today's AI landscape. Written for students, researchers, engineers, and professionals, this book bridges classical probabilistic modeling with cutting-edge artificial intelligence, giving readers a complete understanding of how sequential data is modeled, processed, and leveraged by intelligent systems. Why This Book?In the age of deep learning and transformers, why should one still study Markov Models?Because sequential reasoning is not simply about prediction-it is about probability, hidden structure, temporal dependency, and the ability to explain why certain patterns occur. HMMs remain essential in: Speech recognitionSpelling correctionPOS taggingNamed entity recognitionChatbotsGesture and activity recognitionFinancial market analysisBioinformaticsIndustrial automationWeather predictionSoftware verificationSensor fusion in roboticsCybersecurity anomaly detectionFurthermore, while modern neural architectures like RNNs, LSTMs, GRUs, and Transformers dominate many high-level tasks, Markov Models remain the backbone of many mission-critical, interpretable, mathematically rigorous AI systems. They form the basis for probabilistic reasoning, language models, sequence alignment algorithms, speech decoding engines, and structure prediction.This book does not simply introduce the reader to HMMs-it takes the reader on a structured journey from basic theory to real-world deployment, ensuring mastery for academic and professional excellence. What This Book CoversThis book is divided into eight major parts, each systematically crafted to build a strong foundation while simultaneously guiding readers toward advanced applications. PART I - FOUNDATIONS OF MARKOV MODELS & SEQUENTIAL AIWe begin with the fundamentals of sequential data, stochastic processes, and the essence of the Markov property. Readers are introduced to the history of Markov Models, their mathematical background, and why they remain crucial in modern AI applications. This part explains how sequential systems operate and prepares readers to understand the mathematics behind probabilistic reasoning. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

paperback. Zustand: Wie neu. 240 Seiten; 9780387731711.1 Gewicht in Gramm: 500.

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Zustand: New. pp. 284 Softcover reprint of the original 1st ed. 2014 edition NO-PA16APR2015-KAP.

Taschenbuch. Zustand: Neu. Hidden Markov Models with Applications in Computational Biology | Model Extensions and Advanced Analysis of DNA Microarray Data | Michael Seifert | Taschenbuch | 184 S. | Englisch | 2015 | Südwestdeutscher Verlag für Hochschulschriften | EAN 9783838136042 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.…

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