Владик Крейнович

How to transform partial order between degrees into numerical values

2016

Fuzzy techniques are a successful way to handle expert knowledge, enabling us to capture different degrees of experts' certainty in their statements. To use fuzzy techniques, we need to describe experts' degrees of certainty in …

Towards Parallel Quantum Computing: Standard Quantum Teleportation Algorithm Is, in Some Reasonable Sense, Unique

2018 · scholarworks - UTEP (The University of Texas at El Paso)

In many practical problems, the computation speed of modern computers is not sufficient. Due to the fact that all speeds are bounded by the speed of light, the only way to speed up computations is …

Interval Methods in Knowledge Representation

2018 · International Journal of Uncertainty Fuzziness and Knowledge-Based Systems

Please send your abstracts (or copies of papers that you want to see reviewed here) to vladik@utep.edu, or by regular mail to Vladik Kreinovich, Department of Computer Science, University of Texas at El Paso, El …

When is deep learning better and when is shallow learning better: qualitative analysis

2022 · International Journal of Parallel Emergent and Distributed Systems

In many practical situations, deep neural networks work better than the traditional ‘shallow’ ones; however, in some cases, the shallow neural networks lead to better results. At present, deciding which type of neural networks will …

Predicting Fairness of ML Software Configurations

2024 · arXiv (Cornell University)

This paper investigates the relationships between hyperparameters of machine learning and fairness. Data-driven solutions are increasingly used in critical socio-technical applications where ensuring fairness is important. Rather than explicitly encoding decision logic via control and …