The preprint of the paper “Underwater Acoustic Networks for Security Risk Assessment in Public Drinking Water Reservoirs” is available on … More
Category: Artificial Intellligence
Hyperparameter Tuning Survey Paper: Experimental Investigation and Evaluation of Model-based Hyperparameter Optimization
The working paper “Experimental Investigation and Evaluation of Model-based Hyperparameter Optimization” by Eva Bartz, Martin Zaefferer, Olaf Mersmann, Thomas Bartz-Beielstein was published on … More
Working Paper: Surrogate Model Based Hyperparameter Tuning for Deep Learning with SPOT
Authors: Thomas Bartz-Beielstein, Frederik Rehbach, Amrita Sen, and Martin ZaeffererCategories: cs.LGMSC-class: 68T07ACM-class: A.1; B.8.0; G.1.6; G.4; I.2.8 A surrogate model … More
FAZ.NET Artikel: Wie man sich auf KI spezialisieren kann
Digitalisierung und KI werden immer wichtiger, aber Fachleute fehlen – dabei ist der Weg geebnet. Denn passende Studiengänge gibt es … More
Always interesting to see how far we have (not) come: 2020 in review – 10 AI failures
The global artificial intelligence market is expected to top US$40 billion in 2020, with a compound annual growth rate (CAGR) … More
How AutoML Works
Automated Machine Learning, or AutoML, eliminates the need for skilled data scientists to analyze and test the multitude of different machine … More
Recommended Reading: Forecasting, Theory and Practice by Fotios Petropoulos et al. Free preprint, more than 250 pages
In theory, there is no difference between theory and practice. But, in practice, there is. Benjamin Brewster (1882) Abstract. Forecasting … More
Cognitive Capabilities for the Cognitive Architecture for Artificial Intelligence (CAAI) in Cyber-Physical Production Systems (Open Access Article)
Our (Jan Strohschein, Andreas Fischbach, Andreas Bunte, Heide Faeskorn-Woyke, Natalia Moriz & Thomas Bartz-Beielstein) article “Cognitive capabilities for the CAAI in cyber-physical production systems” has been … More
NeurIPS 2021 Tutorials
List of 2021 Tutorials. Cesar Mattos (Federal University of Ceará), Felipe Tobar (University of Chile): The Art of Gaussian Processes: Classical … More
Paper: Learning Target-Domain-Specific Classifier for Partial Domain Adaptation
Unsupervised domain adaptation (UDA) aims at reducing the distribution discrepancy when transferring knowledge from a labeled source domain to an … More