Markov random fields.

Markov random fields and their applications / by: (Language materials, printed)

Image analysis, random fields and Markov chain Monte Carlo methods : = a mathematical introduction / by: (Language materials, printed)

Markov random field modeling in image analysis by: (Language materials, printed)

Markov logic : = an interface layer for artificial intelligence / by: (Language materials, printed)

Protein homology detection through alignment of Markov random fields = using MRFalign / by: (Electronic resources)

Discrete-time semi-Markov random evolutions and their applications by: (Electronic resources)

Image processing- Statistical methods.

Monte Carlo method.

Image Processing and Computer Vision.

Markov random fields.

Mathematics of Computing.

Pattern Recognition.

Sequence alignment (Bioinformatics)

Bioinformatics.

Stochastic Processes.

Image processing- Digital techniques

Artificial intelligence- Mathematics.

Statistics for Life Sciences, Medicine, Health Sciences.

Applied Probability.

Discrete-time systems.

Probability Theory.

Probabilities.

Inference.

Stochastic Systems and Control.

Computer Science.

Machine learning.

Probability and Statistics in Computer Science.

First-order logic.

Computational Biology/Bioinformatics.

Mathematical Statistics.

Dynamical Systems.