Algorithms for optimal scheduling and management of hidden Markov model sensors
β Scribed by Krishnamurthy, V.
- Book ID
- 111870196
- Publisher
- IEEE
- Year
- 2002
- Tongue
- English
- Weight
- 532 KB
- Volume
- 50
- Category
- Article
- ISSN
- 1053-587X
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
## Background Secondary structure prediction is a useful first step toward 3D structure prediction. A number of successful secondary structure prediction methods use neural networks, but unfortunately, neural networks are not intuitively interpretable. On the contrary, hidden Markov models are grap
For hidden Markov model (HMM) based speech recognition where the basic speech unit is smaller than the recognizer's output unit, the standard full Baum-Welch re-estimation procedure for the HMM training is very costly in computation. This is hecause it requires evaluation of the HMM output densities