Blar i Publikasjoner fra CRIStin på forfatter "Yazidi, Anis"
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Higher-Fidelity Frugal and Accurate Quantile Estimation Using a Novel Incremental Discretized Paradigm
Yazidi, Anis; Hammer, Hugo Lewi; Oommen, John (Journal article; Peer reviewed, 2018) -
Identifying unreliable sensors without a knowledge of the ground truth in deceptive environments
Yazidi, Anis; Oommen, John; Goodwin, Morten (Journal article; Peer reviewed, 2017)This paper deals with the extremely fascinating area of “fusing” the outputs of sensors without any knowledge of the ground truth. In an earlier paper, the present authors had recently pioneered a solution, by mapping ... -
Improving the Diversity of Bootstrapped DQN by Replacing Priors With Noise
Meng, Li; Goodwin, Morten; Yazidi, Anis; Engelstad, Paal (Peer reviewed; Journal article, 2022)Q-learning is one of the most well-known Reinforcement Learning algorithms. There have been tremendous efforts to develop this algorithm using neural networks. Bootstrapped Deep Q-Learning Network is amongst them. It ... -
On achieving intelligent traffic-aware consolidation of virtual machines in a data center using Learning Automata
Jobava, Akaki; Yazidi, Anis; Oommen, John; Begnum, Kyrre (Journal article; Peer reviewed, 2017)Unlike the computational mechanisms of the past many decades, that involved individual (extremely powerful) computers or clusters of machines, cloud computing (CC) is becoming increasingly pertinent and popular. Computing ... -
On Distinguishing between Reliable and Unreliable Sensors Without a Knowledge of the Ground Truth
Yazidi, Anis; Oommen, John; Goodwin, Morten (Chapter; Peer reviewed, 2015) -
On optimizing firewall performance in dynamic networks by invoking a novel swapping window-based paradigm
Mohan, Ratish; Yazidi, Anis; Feng, Boning; Oommen, John (Journal article; Peer reviewed, 2018) -
On Solving the Problem of Identifying Unreliable Sensors Without a Knowledge of the Ground Truth: The Case of Stochastic Environments
Yazidi, Anis; Oommen, John; Goodwin, Morten (Journal article; Peer reviewed, 2016)The purpose of this paper is to propose a solution to an extremely pertinent problem, namely, that of identifying unreliable sensors (in a domain of reliable and unreliable ones) without any knowledge of the ground truth. ... -
On the analysis of a random walk-jump chain with tree-based transitions and its applications to faulty dichotomous search
Yazidi, Anis; Oommen, John (Journal article; Peer reviewed, 2018) -
On the Classification of Dynamical Data Streams Using Novel “Anti–Bayesian” Techniques
Hammer, Hugo Lewi; Yazidi, Anis; Oommen, John (Journal article; Peer reviewed, 2018) -
On the Online Classification of Data Streams Using Weak Estimators
Tavasoli, Hanane; Oommen, John; Yazidi, Anis (Chapter, 2016) -
On Using Novel "Anti-Bayesian" Techniques for the Classification of Dynamical Data Streams
Hammer, Hugo Lewi; Yazidi, Anis; Oommen, John (Chapter; Peer reviewed, 2017) -
On utilizing weak estimators to achieve the online classification of data streams
Tavasoli, Hanane; Oommen, John B.; Yazidi, Anis (Journal article; Peer reviewed, 2019) -
PolyACO+: a multi-level polygon-based ant colony optimisation classifier
Goodwin, Morten; Tufteland, Torry; Ødesneltvedt, Guro; Yazidi, Anis (Journal article; Peer reviewed, 2017)Ant Colony Optimisation for classification has mostly been limited to rule based approaches where artificial ants walk on datasets in order to extract rules from the trends in the data, and hybrid approaches which attempt ... -
Predicting an unstable tear film through artificial intelligence
Fineide, Fredrik; Storås, Andrea; Chen, Xiangjun; Magnø, Morten Schjerven; Yazidi, Anis; Riegler, Michael; Utheim, Tor Paaske (Peer reviewed; Journal article, 2022) -
Solving Stochastic Root-Finding with adaptive d-ary search
Yazidi, Anis; Oommen, John (Chapter; Peer reviewed, 2015) -
Solving Two-Person Zero-Sum Stochastic Games With Incomplete Information Using Learning Automata With Artificial Barriers
Yazidi, Anis; Silvestre, Daniel; Oommen, John (Journal article; Peer reviewed, 2021)Learning automata (LA) with artificially absorbing barriers was a completely new horizon of research in the 1980s (Oommen, 1986). These new machines yielded properties that were previously unknown. More recently, absorbing ... -
Stochastic discretized learning-based weak estimation: a novel estimation method for non-stationary environments
Yazidi, Anis; Oommen, John; Horn, Geir Henrik; Granmo, Ole-Christoffer (Journal article; Peer reviewed, 2016) -
The Hierarchical Continuous Pursuit Learning Automation for Large Numbers of Actions
Yazidi, Anis; Zhang, Xuan; Lei, Jiao; Oommen, John (Chapter; Peer reviewed, 2018)