Markov processes.

Nonlinear mixture modelsa Bayesian approach / by: (Language materials, printed)

Bioinformatics :the machine learning approach / by: (Language materials, printed)

Algorithms for reinforcement learning by: (Language materials, printed)

Approximate iterative algorithms by: (Language materials, printed)

Performance modeling of communication networks with Markov chains by: (Language materials, printed)

Semi-Markov processesapplications in system reliability and maintenance / by: (Language materials, printed)

Markov Chains.

Bioinformatics.

Approximation algorithms.

Markov processes.

Neural Networks (Computer)

Artificial Intelligence.

Bayesian statistical decision theory.

Multivariate analysis.

Molecular biology

Machine learning.

Network performance (Telecommunication)

Reliability (Engineering)

Functional analysis.

Reinforcement learning

Computational Biology

Nonparametric statistics.

Probabilities.

Models, Theoretical.