Chair of Information Technology (150)
Organisational unit: Chair
81 - 90 out of 219Page size: 10
Research output
- Published
Maschinelles Lernen in der Nachschubsteuerung - Verbesserung der Nachschubsteuerung durch den Einsatz von maschinellem Lernen in der Bedarfsprognose
Labner, J., 2020Research output: Thesis › Master's Thesis
- Published
Building Models on Global Supply Chains
Krenn, B., Engelhardt-Nowitzki, C., Savu-Krohn, C. & Zsifkovits, H., 2007, Building Models on Global Supply Chains. University of Iceland, p. 1-17Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
- Published
Evaluierung der Eignung von neuronalen Netzen zum Forecasting logistischer Zeitreihen: Ein Beispiel aus der österreichischen Lebensmittelindustrie
Kotzbeck, J., 2022Research output: Thesis › Master's Thesis
- Published
Clusteranalyse für die Bildung von Produktgruppen zur Unterstützung der Lagerdimensionierung
Kohlhofer, J. B., 2020Research output: Thesis › Master's Thesis
- Published
Particle Size Estimation in Mixed Commercial Waste Images Using Deep Learning
Kittiworapanya, P., Pasupa, K. & Auer, P., 29 Jun 2021, IAIT 2021 - 12th International Conference on Advances in Information Technology: Intelligence and Innovation for Digital Business and Society. Association for Computing Machinery (ACM), 3471273. (ACM International Conference Proceeding Series).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
- Published
A Reinforcement Learning Approach for Real-Time Autonomous Decision-Making in Well Construction
Keshavarz, S., Vita, P., Rückert, E., Ortner, R. & Thonhauser, G., 19 Jan 2023, SPE AI Symposium 2023: Leveraging Artificial Intelligence to Shape the Future of the Energy Industry. (Society of Petroleum Engineers - SPE Symposium: Leveraging Artificial Intelligence to Shape the Future of the Energy Industry, AIS 2023).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
- Published
PAC Subset Selection in Stochastic Multi-armed Bandits
Kalyanakrishnan, S., Tewari, A., Auer, P. & Stone, P., 2012, Proceedings of the 29th International Conference on Machine Learning, ICML 2012.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
- Published
Improved Regret Bounds for Undiscounted Continuous Reinforcement Learning
Kailasam, L., Ortner, R. & Ryabko, D., 2015, Proceedings of The 32nd International Conference on Machine Learning.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
- Published
Improved Regret Bounds for Undiscounted Continuous Reinforcement Learning
Kailasam, L., Ortner, R. & Ryabko, D., 7 Jul 2015.Research output: Contribution to conference › Poster › Research › peer-review
- Published
No-Regret Online Reinforcement Learning with Adversarial Losses and Transitions
Jin, T., Liu, J., Rouyer, C., Chang, W., Wei, C.-Y. & Luo, H., 2023, 37th Conference on Neural Information Processing Systems (NeurIPS 2023).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
