Dynamic programming for machine learning: Hidden Markov Models
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The document discusses the application of Hidden Markov Models (HMMs) in various fields, including speech recognition, biological sequence analysis, and face detection and recognition. Multiple studies from different authors are referenced, highlighting the versatility and effectiveness of HMMs in these applications. Each study contributes to understanding the impact and methodologies of employing HMMs in diverse areas of research.
Dynamic programming for machine learning: Hidden Markov Models
- 53. The Application of Hidden Markov Models in Speech Recognition, Gales and Young, 2008
- 54. The Application of Hidden Markov Models in Speech Recognition, Gales and Young, 2008
- 55. The Application of Hidden Markov Models in Speech Recognition, Gales and Young, 2008
- 56. The Application of Hidden Markov Models in Speech Recognition, Gales and Young, 2008
- 57. Hidden Markov Models and their Applications in Biological Sequence Analysis, Yoon, 2009
- 58. Hidden Markov Models and their Applications in Biological Sequence Analysis, Yoon, 2009
- 59. Hidden Markov Models and their Applications in Biological Sequence Analysis, Yoon, 2009
- 60. Face Detection and Recognition Using Hidden Markov Models, Nefian and Hayes, 1998
- 61. Face Detection and Recognition Using Hidden Markov Models, Nefian and Hayes, 1998
- 62. Face Detection and Recognition Using Hidden Markov Models, Nefian and Hayes, 1998
- 63. Face Detection and Recognition Using Hidden Markov Models, Nefian and Hayes, 1998