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» On the Entropy of a Hidden Markov Process
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ICML
2005
IEEE
15 years 12 months ago
Active learning for Hidden Markov Models: objective functions and algorithms
Hidden Markov Models (HMMs) model sequential data in many fields such as text/speech processing and biosignal analysis. Active learning algorithms learn faster and/or better by cl...
Brigham Anderson, Andrew Moore
WILF
2007
Springer
127views Fuzzy Logic» more  WILF 2007»
15 years 5 months ago
Unsupervised Haplotype Reconstruction and LD Blocks Discovery in a Hidden Markov Framework
In the last years haplotype reconstruction and haplotype blocks discovery, i.e., the estimation of patterns of linkage disequilibrium (LD) in the haplotypes, riveted the attention ...
Alessandro Perina, Marco Cristani, Giovanni Malerb...
ICDAR
2005
IEEE
15 years 4 months ago
Estimating the Pen Trajectories of Multi-Path Static Scripts Using Hidden Markov Models
Static handwritten scripts are available only as images on documents and by definition do not contain dynamic information. This study is about extracting dynamic information from...
Emli-Mari Nel, Johan A. du Preez, Ben M. Herbst
ICCS
2003
Springer
15 years 4 months ago
A Method of Hidden Markov Model Optimization for Use with Geophysical Data Sets
Geophysics research has been faced with a growing need for automated techniques with which to process large quantities of data. A successful tool must meet a number of requirements...
Robert A. Granat
IJCNN
2000
IEEE
15 years 2 months ago
Competing Hidden Markov Models on the Self-Organizing Map
This paper presents an unsupervised segmentation method for feature sequences based on competitivelearning hidden Markov models. Models associated with the nodes of the Self-Organ...
Panu Somervuo