Tobias Jung - researchr alias

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Viewing Publication 1 - 22 from 22

2021

A Tier-based Model for Realizing Context-Awareness of Digital TwinsNada Sahlab, Dominik Braun, Tobias Jung, Nasser Jazdi, Michael Weyrich. etfa 2021: 1-4 [doi]

2020

Digital Twin for Verification and Validation of Industrial Automation Systems - a SurveyAndreas Löcklin, Manuel Müller, Tobias Jung, Nasser Jazdi, Dustin White, Michael Weyrich. etfa 2020: 851-858 [doi]

2019

An architecture of an Intelligent Digital Twin in a Cyber-Physical Production SystemBehrang Ashtari Talkhestani, Tobias Jung, Benjamin Lindemann, Nada Sahlab, Nasser Jazdi, Wolfgang Schlögl, Michael Weyrich. at, 67(9):762-782, 2019. [doi]

2018

Agent Design Patterns for Assistance Systems in Various Domains - a SurveyPhilipp Marks, Timo Müller, Desirée Vögeli, Tobias Jung, Nasser Jazdi, Michael Weyrich. case 2018: 168-173 [doi]

2017

A survey on dynamic simulation of automation systems and components in the Internet of ThingsTobias Jung, Nasser Jazdi, Michael Weyrich. etfa 2017: 1-4 [doi]

2013

Outbound SPIT filter with optimal performance guaranteesTobias Jung, Sylvain Martin, Mohamed Nassar, Damien Ernst, Guy Leduc. cn, 57(7):1630-1643, 2013. [doi]

2012

SPRT for SPIT: Using the Sequential Probability Ratio Test for Spam in VoIP PreventionTobias Jung, Sylvain Martin, Damien Ernst, Guy Leduc. aims 2012: 74-85 [doi]

Contextual multi-armed bandits for web server defenseTobias Jung, Sylvain Martin, Damien Ernst, Guy Leduc. ijcnn 2012: 1-8 [doi]

2011

Empowerment for continuous agent - environment systemsTobias Jung, Daniel Polani, Peter Stone. adb, 19(1):16-39, 2011. [doi]

2010

Sorted Sector Covering Combined with Image Condensation -- An Efficient Method for Local Dimming of Direct-Lit and Edge-Lit LCDsMarc Albrecht, Andreas Karrenbauer, Tobias Jung, Chihao Xu. ieicet, 93-C(11):1556-1563, 2010. [doi]

Gaussian Processes for Sample Efficient Reinforcement Learning with RMAX-Like ExplorationTobias Jung, Peter Stone. pkdd 2010: 601-616 [doi]

2009

Feature Selection for Value Function Approximation Using Bayesian Model SelectionTobias Jung, Peter Stone. pkdd 2009: 660-675 [doi]

2007

Reinforcement Lernen mit RegularisierungsnetzwerkenTobias Jung. PhD thesis, Universität Mainz, 2007.

Reinforcement Lernen mit RegularisierungsnetzwerkenTobias Jung. gi 2008: 161-170

Learning RoboCup-Keepaway with KernelsTobias Jung, Daniel Polani. jmlr, 1:33-57, 2007. [doi]

2006

Tagungsbericht ECAI 2006Tobias Jung. ki, 20(4):62, 2006. [doi]

Sequential Learning with LS-SVM for Large-Scale Data SetsTobias Jung, Daniel Polani. icann (empty year): 381-390 [doi]

Least Squares SVM for Least Squares TD LearningTobias Jung, Daniel Polani. ecai 2006: 499-503

2005

Long Term Prediction of Product Quality in a Glass Manufacturing Process Using a Kernel Based ApproachTobias Jung, Luis Herrera, Bernhard Schölkopf. iwann 2005: 960-967 [doi]

2004

Experiments in Value Function Approximation with Sparse Support Vector RegressionTobias Jung, Thomas Uthmann. ecml 2004: 180-191 [doi]

2003

Evolution and Learning: Evolving Sensors in a Simple MDP EnvironmentTobias Jung, Peter Dauscher, Thomas Uthmann. adb, 11(3):159-177, 2003. [doi]

2001

Some Effects of Individual Learning on the Evolution of SensorsTobias Jung, Peter Dauscher, Thomas Uthmann. ecal 2001: 432-435 [doi]

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