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pro vyhledávání: '"Andreas Wichert"'
Autor:
Andreas Wichert
Publikováno v:
Entropy, Vol 26, Iss 11, p 905 (2024)
The book Quantum Machine Learning: What Quantum Computing Means to Data Mining, by Peter Wittek, made quantum machine learning popular to a wider audience. The promise of quantum machine learning for big data is that it will lead to new applications
Externí odkaz:
https://doaj.org/article/e09bd0030389470f9b83b3b120afe3d8
Autor:
Andreas Wichert
Publikováno v:
Entropy, Vol 25, Iss 6, p 871 (2023)
We introduce a quantum Lernmatrix based on the Monte Carlo Lernmatrix in which n units are stored in the quantum superposition of log2(n) units representing On2log(n)2 binary sparse coded patterns. During the retrieval phase, quantum counting of ones
Externí odkaz:
https://doaj.org/article/1a1204e1bad34719a69d3f25ba739fdc
Autor:
Andreas Wichert
Publikováno v:
Mathematics, Vol 10, Iss 17, p 3103 (2022)
We indicate the quantum tree search qiskit implementation by popular examples from symbolical artificial intelligence, the 3-puzzle, 8-puzzle and the ABC blocks world. Qiskit is an open-source software development kit (SDK) for working with quantum c
Externí odkaz:
https://doaj.org/article/689ed3ff82674831b38d50947d5ce33a
Autor:
Andreas Wichert
Publikováno v:
Mathematics, Vol 9, Iss 17, p 2036 (2021)
Probability theory is built around Kolmogorov’s axioms. To each event, a numerical degree of belief between 0 and 1 is assigned, which provides a way of summarizing the uncertainty. Kolmogorov’s probabilities of events are added, the sum of all p
Externí odkaz:
https://doaj.org/article/d0e4ea1e656a4351a6a376a818b1d2f9
Autor:
Luis Sa-Couto, Andreas Wichert
Publikováno v:
Biological Cybernetics.
Interest in unsupervised learning architectures has been rising. Besides being biologically unnatural, it is costly to depend on large labeled data sets to get a well-performing classification system. Therefore, both the deep learning community and t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::73585daaad86af9a073f02bd1691e5aa
https://doi.org/10.1007/s00422-023-00963-y
https://doi.org/10.1007/s00422-023-00963-y
Autor:
Luis Sa-Couto, Andreas Wichert
Publikováno v:
Neural Computing and Applications. 34:6207-6214
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ede422b8dd3d47e226c720ef63a71b8f
https://doi.org/10.1007/s00521-021-06759-0
https://doi.org/10.1007/s00521-021-06759-0
Autor:
Luis Sacouto, Andreas Wichert
One of the most well established brain principles, hebbian learning, has led to the theoretical concept of neural assemblies. Based on it, many interesting brain theories have spawned. Palm's work implements this concept through binary associative me
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1eaffce61709054ce8f459778fee4741
Publikováno v:
Entropy, Vol 22, Iss 2, p 170 (2020)
Empirical findings from cognitive psychology indicate that, in scenarios under high levels of uncertainty, many people tend to make irrational decisions. To address this problem, models based on quantum probability theory, such as the quantum-like Ba
Externí odkaz:
https://doaj.org/article/53da7e6e1a294aa7ba024cec9967a385
Publikováno v:
PLoS ONE, Vol 13, Iss 12, p e0207806 (2018)
In this work, we analyse and model a real life financial loan application belonging to a sample bank in the Netherlands. The event log is robust in terms of data, containing a total of 262 200 event logs, belonging to 13 087 different credit applicat
Externí odkaz:
https://doaj.org/article/0f052f1d84ab453083724fc1dea7e96b