Distributed Learning Automata-based S-learning scheme for classification
Sign Up to like & getrecommendations! Published in 2019 at "Pattern Analysis and Applications"
DOI: 10.1007/s10044-019-00848-6
Abstract: This paper proposes a novel classifier based on the theory of Learning Automata (LA), reckoned to as PolyLA. The essence of our scheme is to search for a separator in the feature space by imposing… read more here.
Keywords: learning scheme; based learning; classification; learning automata ... See more keywords
TCLAB: A New Topology Control Protocol in Cognitive MANETs Based on Learning Automata
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Network and Systems Management"
DOI: 10.1007/s10922-017-9422-3
Abstract: The mobility of the nodes and their limited energy supply in mobile ad hoc networks (MANETs) complicates network conditions. Having an efficient topology control mechanism in the MANET is very important and can reduce the… read more here.
Keywords: network; learning automata; control; topology ... See more keywords
A learning automata and clustering-based routing protocol for named data networking
Sign Up to like & getrecommendations! Published in 2017 at "Telecommunication Systems"
DOI: 10.1007/s11235-016-0209-8
Abstract: Named data networking (NDN) is a new information-centric networking architecture in which data or content is identified by a unique name and saved pieces of the content are used in the cache of routers. Certainly,… read more here.
Keywords: routing protocol; learning automata; named data; content ... See more keywords
Data Aggregation for Increase Performance of Wireless Sensor Networks Using Learning Automata Approach
Sign Up to like & getrecommendations! Published in 2019 at "Wireless Personal Communications"
DOI: 10.1007/s11277-019-06395-x
Abstract: Wireless sensor networks, a new generation of networks, are composed of a large numbers of nodes and the communication between nodes takes place wirelessly. The main purpose of these networks is collecting information about the… read more here.
Keywords: approach; learning automata; data aggregation; wireless ... See more keywords
Learning Automata Based Incremental Learning Method for Deep Neural Networks
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2907645
Abstract: Deep learning methods have got fantastic performance on lots of large-scale datasets for machine learning tasks, such as visual recognition and neural language processing. Most of the progress on deep learning in recent years lied… read more here.
Keywords: deep neural; training; neural networks; method ... See more keywords
A Distributed Learning Automata Scheme for Spectrum Management in Self-Organized Cognitive Radio Network
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on Mobile Computing"
DOI: 10.1109/tmc.2016.2601926
Abstract: We propose a distributed Learning Automata (LA) for spectrum management problem in Cognitive Radio (CR) networks. The objective is to design intelligent Secondary Users (SUs) which can interact with the RF environment and learn from… read more here.
Keywords: self organized; learning automata; distributed learning; management ... See more keywords
Learning Automata-Based Multiagent Reinforcement Learning for Optimization of Cooperative Tasks
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Neural Networks and Learning Systems"
DOI: 10.1109/tnnls.2020.3025711
Abstract: Multiagent reinforcement learning (MARL) has been extensively used in many applications for its tractable implementation and task distribution. Learning automata, which can be classified under MARL in the category of independent learner, are used to… read more here.
Keywords: optimization; cooperative tasks; reinforcement learning; multiagent reinforcement ... See more keywords
A New Random Forest Algorithm Based on Learning Automata
Sign Up to like & getrecommendations! Published in 2021 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2021/5572781
Abstract: The goal of aggregating the base classifiers is to achieve an aggregated classifier that has a higher resolution than individual classifiers. Random forest is one of the types of ensemble learning methods that have been… read more here.
Keywords: based learning; problem space; learning automata; dynamic behaviour ... See more keywords
Maximizing the Influence Spread in Social Networks: A Learning-Automata-Driven Discrete Butterfly Optimization Algorithm
Sign Up to like & getrecommendations! Published in 2022 at "Symmetry"
DOI: 10.3390/sym15010117
Abstract: Influence maximization aims at the identification of a small group of individuals that may result in the most wide information transmission in social networks. Although greedy-based algorithms can yield reliable solutions, the computational cost is… read more here.
Keywords: topology; social networks; influence; automata driven ... See more keywords