The EM algorithm is used for many applications, including the Boltzmann machine, stochastic Perceptron, and HMM. This algorithm gives an iterating procedure for calculating the MLE of stochastic models which have hidden random variables. It is simple, but the convergence is slow. We also have the Fi
✦ LIBER ✦
The α-EM algorithm and its basic properties
✍ Scribed by Yasuo Matsuyama
- Publisher
- John Wiley and Sons
- Year
- 2000
- Tongue
- English
- Weight
- 304 KB
- Volume
- 31
- Category
- Article
- ISSN
- 0882-1666
No coin nor oath required. For personal study only.
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## Abstract We introduce the notions of congruous indicator of relative performance and congruous indicator of absolute performance. These notions are very similar to the notions of independence and consistency, yet slightly different. It is shown that percentile rank scores, as recently introduced