Machine Learning and Data Mining

1 Open Access Books

36 Authors and Editors

72 Web of Science Citations

57 Dimensions Citations

1 peer-reviewed open access book

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1. History and Theoretical Basics of Hidden Markov Models

By Guy Leonard Kouemou

Part of book: Hidden Markov Models, Theory and Applications

2. Application of HMM to the Study of Three-Dimensional Protein Structure

By Christelle Reynès, Leslie Regad, Stéphanie Pérot, Grégory Nuel and Anne-Claude Camproux

Part of book: Hidden Markov Models, Theory and Applications

3. Modeling of Speech Parameter Sequence Considering Global Variance for HMM-Based Speech Synthesis

By Tomoki Toda

Part of book: Hidden Markov Models, Theory and Applications

4. Hidden Markov Models in Dynamic System Modelling and Diagnosis

By Tarik Al-ani

Part of book: Hidden Markov Models, Theory and Applications

5. Hidden Markov Models in the Neurosciences

By Blaettler Florian, Kollmorgen Sepp, Herbst Joshua and Hahnloser Richard

Part of book: Hidden Markov Models, Theory and Applications

6. Theory of Segmentation

By Jüri Lember, Kristi Kuljus and Alexey Koloydenko

Part of book: Hidden Markov Models, Theory and Applications

7. Classification of Hidden Markov Models: Obtaining Bounds on the Probability of Error and Dealing with Possibly Corrupted Observations

By Eleftheria Athanasopoulou and Christoforos N. Hadjicostis

Part of book: Hidden Markov Models, Theory and Applications

8. Hierarchical Command Recognition Based on Large Margin Hidden Markov Models

By Przemyslaw Dymarski

Part of book: Hidden Markov Models, Theory and Applications

9. Using Hidden Markov Models for ECG Characterisation

By Krimi Samar, Ouni Kaïs and Ellouze Noureddine

Part of book: Hidden Markov Models, Theory and Applications

10. A Non-Homogeneous Hidden Markov Model for the Analysis of Multi-Pollutant Exceedances Data

By Francesco Lagona, Antonello Maruotti and Marco Picone

Part of book: Hidden Markov Models, Theory and Applications