Results 241 to 250 of about 8,467,026 (293)

Inference of genomic landscapes using ordered Hidden Markov Models with emission densities (oHMMed). [PDF]

BMC Bioinformatics
Vogl C, Karapetiants M, Yıldırım B, Kjartansdóttir H, Kosiol C, Bergman J, Majka M, Mikula LC.   +7 more
europepmc   +1 more source

An FPGA-based hardware accelerator supporting sensitive sequence homology filtering with profile hidden Markov models. [PDF]

BMC Bioinformatics
Anderson T, Wheeler TJ.
europepmc   +1 more source

Individualized post-crisis monitoring of psychiatric patients via Hidden Markov models. [PDF]

Front Digit Health
Garriga R, Gómez V, Lugosi G.
europepmc   +1 more source

Investigating brain network dynamics in state-dependent stimulation: A concurrent electroencephalography and transcranial magnetic stimulation study using hidden Markov models.

Brain Stimul
Makkinayeri S, Guidotti R, Basti A, Woolrich MW, Gohil C, Pettorruso M, Ermolova M, Ilmoniemi RJ, Ziemann U, Romani GL, Pizzella V, Marzetti L.   +11 more
europepmc   +1 more source

An Introduction to Hidden Markov Models [PDF]

Current Protocols in Bioinformatics, 2007
AbstractThis unit introduces the concept of hidden Markov models in computational biology. It describes them using simple biological examples, requiring as little mathematical knowledge as possible. The unit also presents a brief history of hidden Markov models and an overview of their current applications before concluding with a discussion of their ...
Alex Bateman, Benjamin Schuster-Böckler
exaly   +3 more sources

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Hidden Markov Models

Current Opinion in Structural Biology, 1996
'Profiles' of protein structures and sequence alignments can detect subtle homologies. Profile analysis has been put on firmer mathematical ground by the introduction of hidden Markov model (HMM) methods. During the past year, applications of these powerful new HMM-based profiles have begun to appear in the fields of protein-structure prediction and ...
Sean Eddy
exaly   +3 more sources

Hidden Semi-Markov Models

Artificial Intelligence, 2010
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Shunzheng Yu
exaly   +3 more sources

Speech Synthesis Based on Hidden Markov Models [PDF]

Proceedings of the IEEE, 2013
This paper gives a general overview of hidden Markov model (HMM)-based speech synthesis, which has recently been demonstrated to be very effective in synthesizing speech.
Keiichi Tokuda, Junichi Yamagishi, Tomoki Toda   +2 more
exaly   +2 more sources

Markov models — hidden Markov models

Nature Methods, 2019
“Everything we see hides another thing, we always want to see what is hidden by what we see” — Rene ...
Jasleen K. Grewal, Martin Krzywinski, Naomi Altman   +2 more
openaire   +1 more source