Absorbing and ergodic discretized two-action learning automata

Fast object partitioning using Stochastic learning automata

SIGIR '87 Proceedings of the 10th annual international ACM SIGIR conference on Research and development in information retrieval

Deterministic Learning Automata Solutions to the Equipartitioning Problem

IEEE Transactions on Computers

Hierarchical Discretized Pursuit Nonlinear Learning Automata with Rapid Convergence and High Accuracy

IEEE Transactions on Knowledge and Data Engineering

Efficient fast learning automata

Information Sciences—Informatics and Computer Science: An International Journal

Deterministic Majority filters applied to stochastic sorting

ACM-SE 42 Proceedings of the 42nd annual Southeast regional conference

Stochastic learning-based weak estimation of multinomial random variables and its applications to pattern recognition in non-stationary environments

Pattern Recognition

Learning Automata Based Intelligent Tutorial-like System

KES '09 Proceedings of the 13th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems: Part I

Random early detection for congestion avoidance in wired networks: a discretized pursuit learning-automata-like solution

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics

Modeling a student's behavior in a tutorial-like system using learning automata

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics

Optimal sampling for estimation with constrained resources using a learning automaton-based solution for the nonlinear fractional knapsack problem

Applied Intelligence

A new tool for the modeling of AI and machine learning applications: random walk-jump processes

HAIS'11 Proceedings of the 6th international conference on Hybrid artificial intelligent systems - Volume Part I

Learning automata-based solutions to the optimal web polling problem modelled as a nonlinear fractional knapsack problem

Engineering Applications of Artificial Intelligence

On utilizing stochastic learning weak estimators for training and classification of patterns with non-stationary distributions

KI'05 Proceedings of the 28th annual German conference on Advances in Artificial Intelligence

A new class of ε-optimal learning automata

ICIC'11 Proceedings of the 7th international conference on Advanced Intelligent Computing

An efficient adaptive bus arbitration scheme for scalable shared-medium ATM switch

Computer Communications

Discretized bayesian pursuit --- a new scheme for reinforcement learning

IEA/AIE'12 Proceedings of the 25th international conference on Industrial Engineering and Other Applications of Applied Intelligent Systems: advanced research in applied artificial intelligence

On incorporating the paradigms of discretization and Bayesian estimation to create a new family of pursuit learning automata

Applied Intelligence