Matches in SemOpenAlex for { <https://semopenalex.org/work/W2887054207> ?p ?o ?g. }
Showing items 1 to 79 of
79
with 100 items per page.
- W2887054207 endingPage "99" @default.
- W2887054207 startingPage "93" @default.
- W2887054207 abstract "Abstract We propose a new algorithm for spectral learning of Hidden Markov Models (HMM). In contrast to the standard approach, we do not estimate the parameters of the HMM directly, but construct an estimate for the joint probability distribution. The idea is based on the representation of a joint probability distribution as an N-th-order tensor with low ranks represented in the tensor train (TT) format. Using TT-format, we get an approximation by minimizing the Frobenius distance between the empirical joint probability distribution and tensors with low TT-ranks with core tensors normalization constraints. We propose an algorithm for the solution of the optimization problem that is based on the alternating least squares (ALS) approach and develop its fast version for sparse tensors. The order of the tensor d is a parameter of our algorithm. We have compared the performance of our algorithm with the existing algorithm by Hsu, Kakade and Zhang proposed in 2009 and found that it is much more robust if the number of hidden states is overestimated." @default.
- W2887054207 created "2018-08-22" @default.
- W2887054207 creator A5004111307 @default.
- W2887054207 creator A5010302250 @default.
- W2887054207 date "2018-08-11" @default.
- W2887054207 modified "2023-10-18" @default.
- W2887054207 title "Tensor Train Spectral Method for Learning of Hidden Markov Models (HMM)" @default.
- W2887054207 cites W1825640910 @default.
- W2887054207 cites W1993482030 @default.
- W2887054207 cites W1995406764 @default.
- W2887054207 cites W2000215628 @default.
- W2887054207 cites W2024165284 @default.
- W2887054207 cites W2038198231 @default.
- W2887054207 cites W2086699924 @default.
- W2887054207 cites W2088025933 @default.
- W2887054207 cites W2088522763 @default.
- W2887054207 cites W2108138101 @default.
- W2887054207 cites W2125838338 @default.
- W2887054207 cites W2132267493 @default.
- W2887054207 cites W2149960632 @default.
- W2887054207 cites W2152770371 @default.
- W2887054207 cites W2463261572 @default.
- W2887054207 doi "https://doi.org/10.1515/cmam-2018-0027" @default.
- W2887054207 hasPublicationYear "2018" @default.
- W2887054207 type Work @default.
- W2887054207 sameAs 2887054207 @default.
- W2887054207 citedByCount "3" @default.
- W2887054207 countsByYear W28870542072018 @default.
- W2887054207 countsByYear W28870542072021 @default.
- W2887054207 crossrefType "journal-article" @default.
- W2887054207 hasAuthorship W2887054207A5004111307 @default.
- W2887054207 hasAuthorship W2887054207A5010302250 @default.
- W2887054207 hasConcept C105795698 @default.
- W2887054207 hasConcept C11413529 @default.
- W2887054207 hasConcept C124066611 @default.
- W2887054207 hasConcept C149441793 @default.
- W2887054207 hasConcept C153180895 @default.
- W2887054207 hasConcept C154945302 @default.
- W2887054207 hasConcept C155281189 @default.
- W2887054207 hasConcept C18653775 @default.
- W2887054207 hasConcept C202444582 @default.
- W2887054207 hasConcept C23224414 @default.
- W2887054207 hasConcept C28826006 @default.
- W2887054207 hasConcept C33923547 @default.
- W2887054207 hasConcept C41008148 @default.
- W2887054207 hasConceptScore W2887054207C105795698 @default.
- W2887054207 hasConceptScore W2887054207C11413529 @default.
- W2887054207 hasConceptScore W2887054207C124066611 @default.
- W2887054207 hasConceptScore W2887054207C149441793 @default.
- W2887054207 hasConceptScore W2887054207C153180895 @default.
- W2887054207 hasConceptScore W2887054207C154945302 @default.
- W2887054207 hasConceptScore W2887054207C155281189 @default.
- W2887054207 hasConceptScore W2887054207C18653775 @default.
- W2887054207 hasConceptScore W2887054207C202444582 @default.
- W2887054207 hasConceptScore W2887054207C23224414 @default.
- W2887054207 hasConceptScore W2887054207C28826006 @default.
- W2887054207 hasConceptScore W2887054207C33923547 @default.
- W2887054207 hasConceptScore W2887054207C41008148 @default.
- W2887054207 hasIssue "1" @default.
- W2887054207 hasLocation W28870542071 @default.
- W2887054207 hasOpenAccess W2887054207 @default.
- W2887054207 hasPrimaryLocation W28870542071 @default.
- W2887054207 hasRelatedWork W1507687735 @default.
- W2887054207 hasRelatedWork W1548481688 @default.
- W2887054207 hasRelatedWork W1558171043 @default.
- W2887054207 hasRelatedWork W1983610137 @default.
- W2887054207 hasRelatedWork W2023185280 @default.
- W2887054207 hasRelatedWork W2167236583 @default.
- W2887054207 hasRelatedWork W2539985974 @default.
- W2887054207 hasRelatedWork W2963474932 @default.
- W2887054207 hasRelatedWork W2990531703 @default.
- W2887054207 hasRelatedWork W4301681594 @default.
- W2887054207 hasVolume "19" @default.
- W2887054207 isParatext "false" @default.
- W2887054207 isRetracted "false" @default.
- W2887054207 magId "2887054207" @default.
- W2887054207 workType "article" @default.