Browsing AURA by Author "Oommen, John"
Now showing items 21-40 of 65
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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 ... -
A Learning-Automata Based Solution for Non-equal Partitioning: Partitions with Common GCD Sizes
Omslandseter, Rebekka Olsson; Jiao, Lei; Oommen, John (Lecture Notes in Computer Science;12799, Peer reviewed; Journal article, 2021)The Object Migration Automata (OMA) has been used as a powerful tool to resolve real-life partitioning problems in random Environments. The virgin OMA has also been enhanced by incorporating the latest strategies in Learning ... -
Multinomial Sequence Based Estimation Using Contiguous Subsequences of Length Three
Oommen, John; Kim, Sang-Woon (Chapter, 2016) -
Nonparametric “anti-Bayesian” quantile-based pattern classification
Mahmoudi, Fatemeh; Razmkhah, Mostafa; Oommen, John (Journal article; Peer reviewed, 2020) -
Novel AI Strategies for Multi-Player Games at Intermediate Board States
Polk, Spencer; Oommen, John (Chapter; Peer reviewed, 2015) -
Novel Block Diagonalization for Reducing Features and Computations in Medical Diagnosis
Ghani, Tahira; Oommen, John (Lecture Notes in Computer Science; vol. 12576, Chapter; Peer reviewed, 2020) -
Novel Distance Estimation Methods Using 'Stochastic Learning on the Line' Strategies
Havelock, Jessica; Oommen, John; Granmo, Ole-Christoffer (Journal article; Peer reviewed, 2018) -
A Novel Learning Automata-Based Strategy to Generate Melodies from Chordal Inputs
Helmy, Ibrahim; Oommen, John (IFIP Advances in Information and Communication Technology; vol. 583, Chapter; Peer reviewed, 2020) -
Novel threat-based AI strategies that incorporate adaptive data structures for multi-player board games
Polk, Spencer; Oommen, John (Peer reviewed; Journal article, 2016)This paper considers the problem of designing novel techniques for multi-player game playing, in a range of board games and configurations. Compared to the well-known case of two-player game playing, multi-player game ... -
Object Migration Automata for Non-equal Partitioning Problems with Known Partition Sizes
Omslandseter, Rebekka Olsson; Jiao, Lei; Oommen, John (IFIP Advances in Information and Communication Technology;627, Peer reviewed; Journal article, 2021)Solving partitioning problems in random environments is a classic and challenging task, and has numerous applications. The existing Object Migration Automaton (OMA) and its proposed enhancements, which include the Pursuit ... -
On Achieving History-Based Move Ordering in Adversarial Board Games using Adaptive Data Structures
Polk, Spencer; Oommen, John (Journal article; Peer reviewed, 2016) -
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 Addressing the Challenges of Complex Stochastic Games Using “Representative” Moves
Taucer, Armando H.; Polk, Spencer; Oommen, John (Chapter; Peer reviewed, 2018) -
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 enhancing the object migration automaton using the Pursuit paradigm
Shirvani, Abdolreza; Oommen, John (Journal article; Peer reviewed, 2017) -
On Invoking Transitivity to Enhance the Pursuit-Oriented Object Migration Automata
Shirvani, Abdolreza; Oommen, John (Journal article; Peer reviewed, 2018) -
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 single elevator-like problems using a learning automata-based paradigm
Ghaleb, Omar; Oommen, John (Journal article; Peer reviewed, 2020) -
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. ...