Towards Large-scale Gaussian Process Models for Efficient Bayesian Machine Learning

von Berns, Fabian
Veröffentlicht in International Conference on Data Science, Technology and Applications (9. : 2020 : Online) DATA 2020 (2020)

Stochastic Time Series Representation for Interval Pattern Mining via Gaussian Processes

von Berns, Fabian
Veröffentlicht in SIAM International Conference on Data Mining (2021 : Online) SIAM International Conference on Data Mining (SDM21) (2021)

Complexity-Adaptive Gaussian Process Model Inference for Large-Scale Data

von Berns, Fabian
Veröffentlicht in SIAM International Conference on Data Mining (2021 : Online) SIAM International Conference on Data Mining (SDM21) (2021)

Large-scale Retrieval of Bayesian Machine Learning Models for Time Series Data via Gaussian Process

von Berns, Fabian
Veröffentlicht in KDIR (12. : 2020 : Online) IC3K 2020 ; Volume 1: KDIR (2020)

Machine Learning for Storage Location Prediction in Industrial High Bay Warehouses

von Berns, Fabian
Veröffentlicht in FGVRID (2021 : Online) Pattern recognition ; Part 4 (2021)

Dynamically Self-adjusting Gaussian Processes for Data Stream Modelling

von Hüwel, Jan David
Veröffentlicht in German Conference on Artificial Intelligence (45. : 2022 : Online) KI 2022: advances in artificial intelligence (2022)

Analysis of Extracellular Potential Recordings by High-Density Micro-electrode Arrays of Pancreatic Islets

von Hüwel, Jan David
Veröffentlicht in DEXA (33. : 2022 : Wien) Database and expert systems applications ; Part 2 (2022)

Similarity search and applications : 10th International Conference, SISAP 2017 : Munich, Germany, October 4-6, 2017 : proceedings

Veröffentlicht 2017

On Kernel Search Based Gaussian Process Anomaly Detection

von Hüwel, Jan David
Veröffentlicht in IN4PL (1. : 2020 : Online) Innovative intelligent industrial production and logistics (2023)