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pro vyhledávání: '"Borujeni, Sima E."'
Due to the expected disparity in quantum vs. classical clock speeds, quantum advantage for branch and bound algorithms is more likely achievable in settings involving large search trees and low operator evaluation costs. Therefore, in this paper, we
Externí odkaz:
http://arxiv.org/abs/2407.20185
Autor:
Rosenberg, Gili, Brubaker, J. Kyle, Schuetz, Martin J. A., Salton, Grant, Zhu, Zhihuai, Zhu, Elton Yechao, Kadıoğlu, Serdar, Borujeni, Sima E., Katzgraber, Helmut G.
We propose and implement an interpretable machine learning classification model for Explainable AI (XAI) based on expressive Boolean formulas. Potential applications include credit scoring and diagnosis of medical conditions. The Boolean formula defi
Externí odkaz:
http://arxiv.org/abs/2306.03976
Advances in data collection using inexpensive sensors have enabled monitoring the performance of dynamic systems, and to implement appropriate control actions to improve their performance. Moreover, engineering systems often operate under uncertain c
Externí odkaz:
http://arxiv.org/abs/2107.00713
Autor:
Borujeni, Sima E., Nguyen, Nam H., Nannapaneni, Saideep, Behrman, Elizabeth C., Steck, James E.
Bayesian Networks (BN) are probabilistic graphical models that are widely used for uncertainty modeling, stochastic prediction and probabilistic inference. A Quantum Bayesian Network (QBN) is a quantum version of the Bayesian network that utilizes th
Externí odkaz:
http://arxiv.org/abs/2005.12474
Autor:
Borujeni, Sima E., Nannapaneni, Saideep, Nguyen, Nam H., Behrman, Elizabeth C., Steck, James E.
Probabilistic graphical models such as Bayesian networks are widely used to model stochastic systems to perform various types of analysis such as probabilistic prediction, risk analysis, and system health monitoring, which can become computationally
Externí odkaz:
http://arxiv.org/abs/2004.14803
Autor:
Borujeni, Sima E., Nannapaneni, Saideep, Nguyen, Nam H., Behrman, Elizabeth C., Steck, James E.
Publikováno v:
In Expert Systems With Applications 15 August 2021 176
Autor:
Rosenberg, Gili, Brubaker, John Kyle, Schuetz, Martin J. A., Salton, Grant, Zhu, Zhihuai, Zhu, Elton Yechao, Kadıoğlu, Serdar, Borujeni, Sima E., Katzgraber, Helmut G.
Publikováno v:
Machine Learning & Knowledge Extraction; Dec2023, Vol. 5 Issue 4, p1760-1795, 36p