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pro vyhledávání: '"P. Hollmann"'
While most ML models expect independent and identically distributed data, this assumption is often violated in real-world scenarios due to distribution shifts, resulting in the degradation of machine learning model performance. Until now, no tabular
Externí odkaz:
http://arxiv.org/abs/2411.10634
Traditionally, neural network training has been primarily viewed as an approximation of maximum likelihood estimation (MLE). This interpretation originated in a time when training for multiple epochs on small datasets was common and performance was d
Externí odkaz:
http://arxiv.org/abs/2410.01565
Publikováno v:
Proceedings WCC 2024
Unequal Error-Protecting (UEP) codes are error-correcting (EC) codes designed to protect some parts of the encoded data better than other parts. Here, we introduce a similar generalization of PIR codes that we call Unequal-Data-Demand (UDD) PIR codes
Externí odkaz:
http://arxiv.org/abs/2407.18124
Machine Learning systems are increasingly prevalent across healthcare, law enforcement, and finance but often operate on historical data, which may carry biases against certain demographic groups. Causal and counterfactual fairness provides an intuit
Externí odkaz:
http://arxiv.org/abs/2407.05732
Diffuse optical spectroscopy (DOS) techniques aim to characterize scattering media by examining their optical response to laser illumination. Time-domain DOS methods involve illuminating the medium with a laser pulse and using a fast photodetector to
Externí odkaz:
http://arxiv.org/abs/2310.20068
Autor:
Carolin S. Klein, Annika K. Alt, Anja Pascher, Jan Kühnhausen, Lennart Seizer, Winfried Ilg, Annika Thierfelder, Jonas Primbs, Michael Menth, Gottfried M. Barth, Caterina Gawrilow, Annette Conzelmann, Tobias J. Renner, Karsten Hollmann
Publikováno v:
Child and Adolescent Psychiatry and Mental Health, Vol 18, Iss 1, Pp 1-17 (2024)
Abstract Background Between 1 and 4% of children and adolescents suffer from obsessive-compulsive disorder (OCD) worldwide, but the majority of these young people do not have access to cognitive behavioral therapy (CBT) as a first-line treatment. CBT
Externí odkaz:
https://doaj.org/article/0468e2152d004b7d88cd709607f63180
Publikováno v:
Earth System Science Data, Vol 16, Pp 5243-5265 (2024)
The amount of energy reaching Earth's surface from the Sun is a quantity of high importance for the climate system and for renewable energy applications. SARAH-3 (SurfAce Radiation DAtaset Heliosat, https://doi.org/10.5676/EUM_SAF_CM/SARAH/V003, Pfei
Externí odkaz:
https://doaj.org/article/2f1f50c9647c42cd8571e5a46bcb39cd
We define the complexity of a continuous-time linear system to be the minimum number of bits required to describe its forward increments to a desired level of fidelity, and compute this quantity using the rate distortion function of a Gaussian source
Externí odkaz:
http://arxiv.org/abs/2306.02435
In this paper, we use Prior-data Fitted Networks (PFNs) as a flexible surrogate for Bayesian Optimization (BO). PFNs are neural processes that are trained to approximate the posterior predictive distribution (PPD) through in-context learning on any p
Externí odkaz:
http://arxiv.org/abs/2305.17535
As the field of automated machine learning (AutoML) advances, it becomes increasingly important to incorporate domain knowledge into these systems. We present an approach for doing so by harnessing the power of large language models (LLMs). Specifica
Externí odkaz:
http://arxiv.org/abs/2305.03403