Name
Abstract | ||
|---|---|---|
This paper addresses two fundamental problems in the context of hidden Markov models (HMMs). The first problem is concerned with the characterization and computation of a minimal order HMM that realizes the exact joint densities of an output process based on only finite strings of such densities (known as HMM partial realization problem). The second problem is concerned with learning a HMM from fi... |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/TSP.2015.2510969 | IEEE Transactions on Signal Processing |
Keywords | DocType | Volume |
Hidden Markov models,Signal processing algorithms,Complexity theory,Random processes,Tensile stress,Runtime,Stochastic processes | Journal | 64 |
Issue | ISSN | Citations |
7 | 1053-587X | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Qingqing Huang | 1 | 34 | 6.50 |
| Rong Ge | 2 | 1626 | 76.01 |
| Sham Kakade | 3 | 4365 | 282.77 |
| Munther A. Dahleh | 4 | 1195 | 254.45 |