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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Takada, M. Nakano, R. |
| Copyright Year | 2003 |
| Description | Author affiliation: Nagoya Inst. of Technol., Japan (Takada, M.; Nakano, R.) |
| Abstract | The EM algorithm is an efficient algorithm to obtain the ML estimate for incomplete data, but has the local optimality problem. The deterministic annealing EM (DAEM) algorithm was once proposed to solve the problem, but it not guaranteed to obtain the global optimum since it employs a single token search. Then multi-thread DAEM (m-DAEM) algorithm was proposed by incorporating a search framework of multiple tokens, giving further improvement of solution quality with a heavy computing cost. This paper proposes another variant of m-DAEM, called /spl epsiv/-DAEM, by introducing threshold-based dynamic annealing where the Hessian information is made good use of. Given the adequate /spl epsiv/, the /spl epsiv/-DAEM shows excellent performance. Moreover, its extreme case where /spl epsiv/ /spl rarr/ /spl infin/, called the multi-thread EM, also shows rather excellent performance. |
| Sponsorship | Int. Neural Network Soc. IEEE Neural Networks Soc |
| Starting Page | 501 |
| Ending Page | 506 |
| File Size | 360946 |
| Page Count | 6 |
| File Format | |
| ISBN | 0780378989 |
| ISSN | 10987576 |
| DOI | 10.1109/IJCNN.2003.1223397 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2003-07-20 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Annealing Maximum likelihood estimation Iterative algorithms Temperature Bifurcation Costs Entropy Processor scheduling Monitoring Convergence |
| Content Type | Text |
| Resource Type | Article |
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