Blar i Publikasjoner fra CRIStin på forfatter "Yazidi, Anis"
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A Learning Automaton-based Scheme for Scheduling Domestic Shiftable Loads in Smart Grids
Thapa, Rajan; Lei, Jiao; Oommen, John; Yazidi, Anis (Journal article; Peer reviewed, 2017)In this paper, we consider the problem of scheduling shiftable loads, over multiple users, in smart electrical grids. We approach the problem, which is becoming increasingly pertinent in our present energy-thirsty society, ... -
A Novel Clustering Algorithm based on a Non-parametric "Anti-Bayesian" Paradigm
Hammer, Hugo Lewi; Yazidi, Anis; Oommen, John (Chapter; Peer reviewed, 2015) -
A novel strategy for solving the stochastic point location problem using a hierarchical searching scheme
Yazidi, Anis; Granmo, Ole-Christoffer; Oommen, John; Goodwin, Morten (Journal article, 2014)Stochastic point location (SPL) deals with the problem of a learning mechanism (LM) determining the optimal point on the line when the only input it receives are stochastic signals about the direction in which it should ... -
A novel technique for stochastic root-finding: Enhancing the search with adaptive d-ary search
Yazidi, Anis; Oommen, John (Peer reviewed; Journal article, 2017)The most fundamental problem encountered in the field of stochastic optimization and control, is the Stochastic Root Finding (SRF) problem where the task is to locate (or in the context of control, to move towards), an ... -
A pattern recognition approach for peak prediction of electrical consumption
Goodwin, Morten; Yazidi, Anis (Journal article; Peer reviewed, 2016) -
Achieving Fair Load Balancing by Invoking a Learning Automata-based Two Time Scale Separation Paradigm
Yazidi, Anis; Hassan, Ismail; Hammer, Hugo Lewi; Oommen, B. John (Journal article; Peer reviewed, 2020)In this article, we consider the problem of load balancing (LB), but, unlike the approaches that have been proposed earlier, we attempt to resolve the problem in a fair manner (or rather, it would probably be more appropriate ... -
Achieving Intelligent Traffic-aware Consolidation of Virtual Machines in a Data Center Using Learning Automata
Jobava, Akaki; Yazidi, Anis; Oommen, John; Begnum, Kyrre (Chapter; Peer reviewed, 2016) -
Ant colony optimisation-based classification using two-dimensional polygons
Goodwin, Morten; Yazidi, Anis (Peer reviewed; Journal article, 2016) -
“Anti-Bayesian” Flat and Hierarchical Clustering Using Symmetric Quantiloids
Yazidi, Anis; Hammer, Hugo Lewi; Oommen, John (Chapter; Peer reviewed, 2016) -
“Anti-Bayesian” Flat and Hierarchical Clustering Using Symmetric Quantiloids
Yazidi, Anis; Hammer, Hugo Lewi; Oommen, John (Chapter; Peer reviewed, 2016) -
Balanced difficulty task finder: an adaptive recommendation method for learning tasks based on the concept of state of flow
Yazidi, Anis; Abolpour Mofrad, Asieh; Goodwin, Morten; Hammer, Hugo Lewi; Arntzen, Erik (Peer reviewed; Journal article, 2020) -
Concept Drift Detection Using Online Histogram-Based Bayesian Classifiers
Astudillo, César A.; Gonzalez, Javier I.; Oommen, John; Yazidi, Anis (Chapter, 2016)In this paper, we present a novel algorithm that performs online histogram-based classification, i.e., specifically designed for the case when the data is dynamic and its distribution is non-stationary. Our method, called ... -
Distributed Learning Automata-based S-learning scheme for classification
Goodwin, Morten; Yazidi, Anis; Jonassen, Tore Møller (Peer reviewed; Journal article, 2019) -
Distributed learning automata-based scheme for classification using novel pursuit scheme
Goodwin, Morten; Yazidi, Anis (Journal article; Peer reviewed, 2020) -
Dynamic Ordering of Firewall Rules Using a Novel Swapping Window-based Paradigm
Mohan, Ratish; Yazidi, Anis; Feng, Boning; Oommen, John (Chapter, 2016) -
Expert Q-learning: Deep Reinforcement Learning with Coarse State Values from Offline Expert Examples
Meng, Li; Yazidi, Anis; Goodwin, Morten; Engelstad, Paal (Peer reviewed; Journal article, 2022)In this article, we propose a novel algorithm for deep reinforcement learning named Expert Q-learning. Expert Q-learning is inspired by Dueling Q-learning and aims to incorporate semi-supervised learning into reinforcement ... -
Exploring Multilingual Word Embedding Alignments in BERT Models: A Case Study of English and Norwegian
Aaby, Pernille; Biermann, Daniel; Yazidi, Anis; Borges Moreno e Mello, Gustavo; Palumbo, Fabrizio (Chapter; Peer reviewed, 2023)Contextual language models, such as transformers, can solve a wide range of language tasks ranging from text classification to question answering and machine translation. Like many deep learning models, the performance ... -
The Hierarchical Continuous Pursuit Learning Automation : A Novel Scheme for Environments With Large Numbers of Actions
Yazidi, Anis; Zhang, Xuan; Lei, Jiao; Oommen, John (Journal article; Peer reviewed, 2019) -
The Hierarchical Discrete Learning Automaton Suitable for Environments with Many Actions and High Accuracy Requirements
Omslandseter, Rebekka Olsson; Jiao, Lei; Zhang, Xuan; Yazidi, Anis; Oommen, John (Peer reviewed; Journal article, 2022)Since its early beginning, the paradigm of Learning Automata (LA), has attracted much interest. Over the last decades, new concepts and various improvements have been introduced to increase the LA’s speed and accuracy, ... -
The Hierarchical Discrete Pursuit Learning Automaton: A Novel Scheme With Fast Convergence and Epsilon-Optimality
Omslandseter, Rebekka Olsson; Jiao, Lei; Zhang, Xuan; Yazidi, Anis; Oommen, John (Peer reviewed; Journal article, 2022)Since the early 1960s, the paradigm of learning automata (LA) has experienced abundant interest. Arguably, it has also served as the foundation for the phenomenon and field of reinforcement learning (RL). Over the decades, ...