Search Results for author: Tobias Jacobs

Found 6 papers, 1 papers with code

Interactive Ontology Matching with Cost-Efficient Learning

no code implementations11 Apr 2024 Bin Cheng, Jonathan Fürst, Tobias Jacobs, Celia Garrido-Hidalgo

The creation of high-quality ontologies is crucial for data integration and knowledge-based reasoning, specifically in the context of the rising data economy.

Active Learning Data Integration +1

The Combinatorial Multi-Bandit Problem and its Application to Energy Management

no code implementations30 Oct 2020 Tobias Jacobs, Mischa Schmidt, Sébastien Nicolas, Anett Schülke

For our energy management application we propose a range of algorithms that combine exploration principles for multi-arm bandits with mathematical programming.

energy management Management

Large-Scale Cargo Distribution

no code implementations29 Sep 2020 Luka Stopar, Luka Bradesko, Tobias Jacobs, Azur Kurbašić, Miha Cimperman

This study focuses on the design and development of methods for generating cargo distribution plans for large-scale logistics networks.


A Study of the Learning Progress in Neural Architecture Search Techniques

no code implementations18 Jun 2019 Prabhant Singh, Tobias Jacobs, Sebastien Nicolas, Mischa Schmidt

As a surprising result, we find that the learning curves are completely flat, i. e., there is no observable progress of the controller in terms of the performance of its generated architectures.

Neural Architecture Search

On the Performance of Differential Evolution for Hyperparameter Tuning

1 code implementation15 Apr 2019 Mischa Schmidt, Shahd Safarani, Julia Gastinger, Tobias Jacobs, Sebastien Nicolas, Anett Schülke

This empirical study involves a range of different machine learning algorithms and datasets with various characteristics to compare the performance of Differential Evolution with Sequential Model-based Algorithm Configuration (SMAC), a reference Bayesian Optimization approach.

Bayesian Optimization BIG-bench Machine Learning +1

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