Screen LibraryHidden Semi-Markov models : theory, algorithms and applications /
Hidden semi-Markov models (HSMMs) are among the most important models in the area of artificial intelligence / machine learning. Since the first HSMM was introduced in 1980 for machine recognition of speech, three other HSMMs have been proposed, with various definitions of duration and observation d...
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| Main Authors: | |
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| Published: |
Elsevier,
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| Publisher Address: | Amsterdam, Netherlands : |
| Publication Dates: | [2016] |
| Literature type: | Book |
| Language: | English |
| Series: |
Computer science reviews and trends
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| Subjects: | |
| Summary: |
Hidden semi-Markov models (HSMMs) are among the most important models in the area of artificial intelligence / machine learning. Since the first HSMM was introduced in 1980 for machine recognition of speech, three other HSMMs have been proposed, with various definitions of duration and observation distributions. Those models have different expressions, algorithms, computational complexities, and applicable areas, without explicitly interchangeable forms. Hidden Semi-Markov Models: Theory, Algorithms and Applications provides a unified and foundational approach to HSMMs, including various HSM |
| Carrier Form: | ix, 195 pages : illustrations, forms ; 23 cm. |
| Bibliography: | Includes bibliographical references (pages [179]-195). |
| ISBN: |
9780128027677 (paperback) : 0128027673 (paperback) |
| Index Number: | QA274 |
| CLC: | O211.62 |
| Call Number: | O211.62/Y944 |