Blar i AURA på forfatter "Yazidi, Anis"
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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) -
Process Improvement Solution for Mobile Platform Customer SW Development
Yazidi, Anis; Leira, Terje (Master thesis, 2008)Time to market is becoming an increasingly important topic in software industry. In this trend, handling customer change requests is of a paramount importance. In the current thesis, we investigate reducing the lead time ... -
Recovering Request Patterns to a CPU Processor from Observed CPU Consumption Data
Hammer, Hugo Lewi; Yazidi, Anis; Bratterud, Alfred; Haugerud, Hårek; Feng, Boning (Chapter; Peer reviewed, 2016) -
Service selection in stochastic environments: a learning-automaton based solution
Yazidi, Anis; Granmo, Ole-Christoffer; Oommen, B. John (Journal article; Peer reviewed, 2011)In this paper, we propose a novel solution to the problem of identifying services of high quality. The reported solutions to this problem have, in one way or the other, resorted to using so-called “Reputation Systems” ... -
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) -
Tracking the preferences of users using weak estimators
Yazidi, Anis; Granmo, Ole-Christoffer; Oommen, B. John (Lecture Notes in Computer Science;7106, Chapter; Peer reviewed, 2011)Since a social network, by definition, is so diverse, the problem of estimating the preferences of its users is becoming increasingly essential for personalized applications which range from service recommender systems to ...