This open access book provides a wealth of hands-on examples that illustrate how hyperparameter tuning can be applied in practice … More
Category: Machine Learning
Open Access Book “Hyperparameter Tuning for Machine and Deep Learning with R” is finally published
The book “Hyperparameter Tuning for Machine and Deep Learning with R – A Practical Guide” is finally published. The content is … More
SPOTMisc 1.19.26 is on its Way to CRAN
SPOTMisc: Misc Extensions for the ‘SPOT’ Package Implements additional models, simulation tools, and interfaces as extensions to ‘SPOT’. It provides … More
CfP: Special Session on Evolutionary Transfer Learning and Transfer Optimisation
2022 IEEE World Congress on Computational Intelligence (WCCI)/ IEEE Congress on Evolutionary Computation (CEC) 18 – 23 July 2022, Padova, … More
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
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
Machine Learning Collage by Robert Lange: Four Deep Learning Papers to Read in June 2021
Robert Lange drafts one-slide visual summaries (“ML collages) of his favorite recent papers (published on towardsdatascience), e.g., Also interesting: “What … More
What is Uncertainty in Machine Learning? Presentation from Matias Valdenegro (German Research Center for Artificial Intelligence)
Dr. Matias Valdenegro Toro from the German Research Center for Artificial Intelligence, Bremen talked about “Uncertainty Quantification in Computer Vision … More
RStudio: Deep Learning with Keras Cheatsheet
Keras is a high-level neural networks API developed with a focus on enabling fast experimentation. Keras supports both convolution based networks and … More