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Learning automata algorithms for pattern classification

https://doi.org/10.1007/bf02823144
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/0-387-26871-5_13openalex-snapshot
Stochastic Approximation
inferredcites →https://doi.org/10.1007/0-387-34239-7openalex-snapshot
Estimation of Dependences Based on Empirical Data
inferredcites →https://doi.org/10.1007/978-1-4419-1428-6_502openalex-snapshot
Stochastic Models of Learning
inferredcites →https://doi.org/10.1007/978-1-4612-5838-4openalex-snapshot
Pattern Classifiers and Trainable Machines
inferredcites →https://doi.org/10.1007/978-1-4757-2440-0openalex-snapshot
The Nature of Statistical Learning Theory
inferredcites →https://doi.org/10.1007/978-1-4899-2696-8openalex-snapshot
Stochastic Approximation Algorithms and Applications
inferredcites →https://doi.org/10.1007/bf00941312openalex-snapshot
Global optimization and stochastic differential equations
inferredcites →https://doi.org/10.1007/bf00992696openalex-snapshot
Simple statistical gradient-following algorithms for connectionist reinforcement learning
inferredcites →https://doi.org/10.1007/bf02823149openalex-snapshot
Stochastic approximation algorithms: Overview and recent trends
inferredcites →https://doi.org/10.1016/0010-4485(76)90051-8openalex-snapshot
IEEE trans. syst., man cybern
inferredcites →https://doi.org/10.1016/0016-0032(94)90039-6openalex-snapshot
Continuous action set learning automata for stochastic optimization
inferredcites →https://doi.org/10.1016/0890-5401(92)90010-dopenalex-snapshot
Decision theoretic generalizations of the PAC model for neural net and other learning applications
inferredcites →https://doi.org/10.1016/s0076-5392(08)x6030-8openalex-snapshot
Adaptive, Learning and Pattern Recognition Systems - Theory and Applications
inferredcites →https://doi.org/10.1037/14496-000openalex-snapshot
Stochastic models for learning.
inferredcites →https://doi.org/10.1080/00401706.1996.10484565openalex-snapshot
The Nature of Statistical Learning Theory
inferredcites →https://doi.org/10.1109/21.247899openalex-snapshot
Learning optimal conjunctive concepts through a team of stochastic automata
inferredcites →https://doi.org/10.1109/21.293490openalex-snapshot
Decentralized learning of Nash equilibria in multi-person stochastic games with incomplete information
inferredcites →https://doi.org/10.1109/21.467711openalex-snapshot
Convergence of teams and hierarchies of learning automata in connectionist systems
inferredcites →https://doi.org/10.1109/3477.517033openalex-snapshot
Finite time analysis of the pursuit algorithm for learning automata
inferredcites →https://doi.org/10.1109/3477.658575openalex-snapshot
Parallel algorithms for modules of learning automata
inferredcites →https://doi.org/10.1109/72.363475openalex-snapshot
Learning the global maximum with parameterized learning automata
inferredcites →https://doi.org/10.1109/massp.1987.1165576openalex-snapshot
An introduction to computing with neural nets
inferredcites →https://doi.org/10.1109/tac.1974.1100577openalex-snapshot
Pattern classification and scene analysis
inferredcites →https://doi.org/10.1109/tsmc.1985.6313371openalex-snapshot
Pattern-recognizing stochastic learning automata
inferredcites →https://doi.org/10.1109/tsmc.1985.6313407openalex-snapshot
A new approach to the design of reinforcement schemes for learning automata
inferredcites →https://doi.org/10.1109/tsmc.1987.289334openalex-snapshot
Learning Optimal Discriminant Functions through a Cooperative Game of Automata
inferredcites →https://doi.org/10.1109/tssc.1969.300228openalex-snapshot
Use of Stochastic Automata for Parameter Self-Optimization with Multimodal Performance Criteria
inferredcites →https://doi.org/10.1137/0325042openalex-snapshot
Diffusion for Global Optimization in $\mathbb{R}^n $
inferredcites →https://doi.org/10.1145/76359.76371openalex-snapshot
Learnability and the Vapnik-Chervonenkis dimension
inferredcites →https://doi.org/10.1162/neco.1989.1.1.151openalex-snapshot
What Size Net Gives Valid Generalization?
inferredcites →https://doi.org/10.1214/aoms/1177728659openalex-snapshot
Multidimensional Stochastic Approximation Methods
inferredcites →https://doi.org/10.1214/aoms/1177729392openalex-snapshot
Stochastic Estimation of the Maximum of a Regression Function
inferredcites →https://doi.org/10.21236/ada164453openalex-snapshot
Learning Internal Representations by Error Propagation
inferredcites →https://doi.org/10.2307/2669885openalex-snapshot
Stochastic Approximation Algorithms and Applications
inferredcites →https://doi.org/10.2307/2988246openalex-snapshot
Estimation of Dependences Based on Empirical Data.
inferredcites →https://doi.org/10.7551/mitpress/5236.001.0001openalex-snapshot
Parallel Distributed Processing

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/978-3-030-34885-4_11openalex-snapshot
A Tsetlin Machine with Multigranular Clauses
inferred← citeshttps://doi.org/10.1007/978-3-642-19934-9_26openalex-snapshot
An Estimator Update Scheme for Large Teams of Learning Automata
inferred← citeshttps://doi.org/10.1007/bf02823149openalex-snapshot
Stochastic approximation algorithms: Overview and recent trends
inferred← citeshttps://doi.org/10.1007/s10044-019-00848-6openalex-snapshot
Distributed Learning Automata-based S-learning scheme for classification
inferred← citeshttps://doi.org/10.1007/s10489-019-01627-wopenalex-snapshot
Distributed learning automata-based scheme for classification using novel pursuit scheme
inferred← citeshttps://doi.org/10.1007/s10489-020-01657-9openalex-snapshot
A team of pursuit learning automata for solving deterministic optimization problems
inferred← citeshttps://doi.org/10.1007/s13042-011-0056-6openalex-snapshot
Classification rule discovery using learning automata
inferred← citeshttps://doi.org/10.1016/j.neucom.2012.10.005openalex-snapshot
Presenting a new multiclass classifier based on learning automata
inferred← citeshttps://doi.org/10.1016/j.patrec.2007.08.011openalex-snapshot
Learning automata based classifier
inferred← citeshttps://doi.org/10.1109/cec.2016.7744297openalex-snapshot
Distributed learning automata for solving a classification task
inferred← citeshttps://doi.org/10.1109/tsmcb.2002.1049606openalex-snapshot
Varieties of learning automata: an overview
inferred← citeshttps://doi.org/10.1145/1988688.1988734openalex-snapshot
A solution to the exact match on rare item searches
inferred← citeshttps://doi.org/10.36227/techrxiv.174831914.40673470/v1openalex-snapshot
A 360-Degree Review of Tsetlin Machines: Concepts, Applications, Analysis, and the Future
inferred← citeshttps://doi.org/10.48550/arxiv.1804.01508openalex-snapshot
The Tsetlin Machine -- A Game Theoretic Bandit Driven Approach to Optimal Pattern Recognition with Propositional Logic
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