Vogue: A variable order hidden markov model with duration based on frequent sequence mining
We present VOGUE, a novel, variable order hidden Markov model with state durations, that
combines two separate techniques for modeling complex patterns in sequential data: pattern …
combines two separate techniques for modeling complex patterns in sequential data: pattern …
Predictive tabla modelling using variable-length markov and hidden markov models
Tabla is a sophisticated, centuries-old percussion tradition from North India based on timbral
sequences. We model these sequences in a predictive framework with Variable-length …
sequences. We model these sequences in a predictive framework with Variable-length …
Parsimonious Higher-Order Hidden Markov Models for Improved Array-CGH Analysis with Applications to Arabidopsis thaliana
M Seifert, A Gohr, M Strickert… - PLoS computational …, 2012 - journals.plos.org
Array-based comparative genomic hybridization (Array-CGH) is an important technology in
molecular biology for the detection of DNA copy number polymorphisms between closely …
molecular biology for the detection of DNA copy number polymorphisms between closely …
Learning sequential classifiers from long and noisy discrete-event sequences efficiently
A variety of applications, such as information extraction, intrusion detection and protein fold
recognition, can be expressed as sequences of discrete events or elements (rather than …
recognition, can be expressed as sequences of discrete events or elements (rather than …
Vogue: a novel variable order-gap state machine for modeling sequences
B Bouqata, CD Carothers, BK Szymanski… - Knowledge Discovery in …, 2006 - Springer
We present VOGUE, a new state machine that combines two separate techniques for
modeling long range dependencies in sequential data: data mining and data modeling …
modeling long range dependencies in sequential data: data mining and data modeling …
Markov modeling on dynamic state space for genetic disorders and infectious diseases with mutations: Probabilistic framework, parameter estimation, and …
The emergence and dynamic prevalence of genetic disorders and infectious diseases with
mutations pose significant challenges for public health interventions. This study investigated …
mutations pose significant challenges for public health interventions. This study investigated …
Modeling the progression of genetic disorders and infectious diseases with mutations by extended Markov processes on dynamic state-space: a probabilistic …
Markov processes have been employed for modeling various diseases. Due to their
memoryless property, existing models are predominantly constructed upon static state …
memoryless property, existing models are predominantly constructed upon static state …
Efficient mixed-order hidden Markov model inference
L Schwardt - 2007 - scholar.sun.ac.za
Higher-order Markov models are more powerful than first-order models, but suffer from an
exponential increase in model parameters with order, which leads to data scarcity problems …
exponential increase in model parameters with order, which leads to data scarcity problems …
[PDF][PDF] Automatic language identification using mixed-order HMMs and untranscribed corpora
L Schwardt, J Preez - Sixth International Conference on Spoken …, 2000 - isca-archive.org
The state-of-the-art language identification (LID) systems are based on phone recognisers
and n-gram language models, which require the use of transcribed speech databases for …
and n-gram language models, which require the use of transcribed speech databases for …
Simbiosis 1.0 Composición Para Bandola Andina Colombiana y Entidades Sónicas
EJ García Borbón - repository.udistrital.edu.co
Symbiosis 1.0 Symbiosis 1.0 is a composition for Colombian Andean Bandola and Sonic
Entities, with the possibility of making use of other instruments thanks to the flexibility of the …
Entities, with the possibility of making use of other instruments thanks to the flexibility of the …