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Bayesian Speech and Language Processing
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Artikel-Nr:
9781107055575
Veröffentl:
2015
Erscheinungsdatum:
15.07.2015
Seiten:
445
Autor:
Shinji Watanabe
Gewicht:
1021 g
Format:
249x173x28 mm
Sprache:
Englisch
Beschreibung:
Shinji Watanabe received his PhD from Waseda University in 2006. He has been a research scientist at NTT Communication Science Laboratories, a visiting scholar at Georgia Institute of Technology and a Senior Principal Member at Mitsubishi Electric Research Laboratories (MERL), as well as having been an Associate Editor of the IEEE Transactions on Audio Speech and Language Processing, and an elected member of the IEEE Speech and Language Processing Technical Committee. He has published more than 100 papers in journals and conferences, and received several awards including the best paper award from IEICE in 2003.
A practical and comprehensive guide on how to apply Bayesian machine learning techniques to solve speech and language processing problems.
Part I. General Discussion: 1. Introduction; 2. Bayesian approach; 3. Statistical models in speech and language processing; Part II. Approximate Inference: 4. Maximum a posteriori approximation; 5. Evidence approximation; 6. Asymptotic approximation; 7. Variational Bayes; 8. Markov chain Monte Carlo.