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COLING
2008
15 years 1 months ago
Homotopy-Based Semi-Supervised Hidden Markov Models for Sequence Labeling
This paper explores the use of the homotopy method for training a semi-supervised Hidden Markov Model (HMM) used for sequence labeling. We provide a novel polynomial-time algorith...
Gholamreza Haffari, Anoop Sarkar
ISMB
1997
15 years 1 months ago
Identifying Chimerism in Proteins Using Hidden Markov Models of Codon Usage
Protein chimerism is a phenomenon involving the combination of multiple ancestral sequences into a single, multi-domain protein through evolution. We propose a novel method for de...
Lawrence Hunter, Barry Zeeberg
TMA
2010
Springer
148views Management» more  TMA 2010»
14 years 9 months ago
TCP Traffic Classification Using Markov Models
This paper presents a novel traffic classification approach which classifies TCP connections with help of observable Markov models. As traffic properties, payload length, direction...
Gerhard Münz, Hui Dai, Lothar Braun, Georg Ca...
ICARCV
2008
IEEE
170views Robotics» more  ICARCV 2008»
15 years 6 months ago
Mixed state estimation for a linear Gaussian Markov model
— We consider a discrete-time dynamical system with Boolean and continuous states, with the continuous state propagating linearly in the continuous and Boolean state variables, a...
Argyris Zymnis, Stephen P. Boyd, Dimitry M. Gorine...
NIPS
2003
15 years 1 months ago
Inferring State Sequences for Non-linear Systems with Embedded Hidden Markov Models
We describe a Markov chain method for sampling from the distribution of the hidden state sequence in a non-linear dynamical system, given a sequence of observations. This method u...
Radford M. Neal, Matthew J. Beal, Sam T. Roweis