Making Use of Partial Knowledge About Hidden States in HMMs: An Approach Based on Belief Functions
ناشر:
سال
: 2014شناسه الکترونیک: 10.1109/TFUZZ.2013.2259496
کلیدواژه(گان): expectation-maximisation algorithm,hidden Markov models,maximum likelihood estimation,parameter estimation,HMM,belief function framework,belief functions,expectation-maximization algorithm,hidden Markov models,hidden states,maximum likelihood estimation,parameter estimation,partial knowledge,state prediction,Dempster&,#x2013,Shafer theory,evidence theory,evidential expectation-maximization (E<,formula formulatype=",inline",>,<,tex Notation=",TeX",>,$^2$
کالکشن
:
-
آمار بازدید
Making Use of Partial Knowledge About Hidden States in HMMs: An Approach Based on Belief Functions
Show full item record
| contributor author | Ramasso, Emmanuel | |
| contributor author | Denoeux, Thierry | |
| date accessioned | 2020-03-12T18:22:59Z | |
| date available | 2020-03-12T18:22:59Z | |
| date issued | 2014 | |
| identifier issn | 1063-6706 | |
| identifier other | 6507644.pdf | |
| identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/956609 | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | Making Use of Partial Knowledge About Hidden States in HMMs: An Approach Based on Belief Functions | |
| type | Journal Paper | |
| contenttype | Metadata Only | |
| identifier padid | 7988688 | |
| subject keywords | expectation-maximisation algorithm | |
| subject keywords | hidden Markov models | |
| subject keywords | maximum likelihood estimation | |
| subject keywords | parameter estimation | |
| subject keywords | HMM | |
| subject keywords | belief function framework | |
| subject keywords | belief functions | |
| subject keywords | expectation-maximization algorithm | |
| subject keywords | hidden Markov models | |
| subject keywords | hidden states | |
| subject keywords | maximum likelihood estimation | |
| subject keywords | parameter estimation | |
| subject keywords | partial knowledge | |
| subject keywords | state prediction | |
| subject keywords | Dempster& | |
| subject keywords | #x2013 | |
| subject keywords | Shafer theory | |
| subject keywords | evidence theory | |
| subject keywords | evidential expectation-maximization (E< | |
| subject keywords | formula formulatype=" | |
| subject keywords | inline" | |
| subject keywords | > | |
| subject keywords | < | |
| subject keywords | tex Notation=" | |
| subject keywords | TeX" | |
| subject keywords | > | |
| subject keywords | $^2$ | |
| identifier doi | 10.1109/TFUZZ.2013.2259496 | |
| journal title | Fuzzy Systems, IEEE Transactions on | |
| journal volume | 22 | |
| journal issue | 2 | |
| filesize | 652337 | |
| citations | 0 |