Results 51 to 60 of about 1,212,906 (326)

Universal efficiency at optimal work with Bayesian statistics

, 2010
If the work per cycle of a quantum heat engine is averaged over an appropriate prior distribution for an external parameter $a$, the work becomes optimal at Curzon-Ahlborn efficiency.
E. T. Jaynes, H. Jeffreys, H. Jeffreys, H. S. Leff, J. Gemmer, Ramandeep S. Johal   +5 more
core   +1 more source

Bayesian Analysis of Many-Pole Fits of Hadron Propagators in Lattice QCD [PDF]

, 1996
We use Bayes' probability theorem to analyze many-pole fits of hadron propagators. An alternative method of estimating values and uncertainties of the fit parameters is offered, which has certain advantages over the conventional methods.
Bretthorst, Catterall, D. Makovoz, Iwasaki, Makovoz, Makovoz, Toussaint   +6 more
core   +2 more sources

Hardware Implementation of Bayesian Decision‐Making with Memristors

Advanced Electronic Materials
Brains perform decision‐making by Bayes theorem – events are quantified as probabilities and based on probability rules, computed to render the decisions.
Lekai Song, Pengyu Liu, Yang Liu, Jingfang Pei, Wenyu Cui, Songwei Liu, Yingyi Wen, Teng Ma, Kong‐Pang Pun, Leonard W. T. Ng, Guohua Hu   +10 more
doaj   +1 more source

Sharpening the Second Law of Thermodynamics with the Quantum Bayes' Theorem [PDF]

, 2014
We prove a generalization of the classic Groenewold-Lindblad entropy inequality, combining decoherence and the quantum Bayes theorem into a simple unified picture where decoherence increases entropy while observation decreases it.
Gharibyan, Hrant, Tegmark, Max
core   +2 more sources

Prediction of Structural Stability of Layered Oxide Cathode Materials: Combination of Machine Learning and Ab Initio Thermodynamics

Advanced Energy Materials, EarlyView.
In this work, we developed a phase‐stability predictor by combining machine learning and ab initio thermodynamics approaches, and identified the key factors determining the favorable phase for a given composition. Specifically, a lower TM ionic potential, higher Na content, and higher mixing entropy favor the O3 phase.
Liang‐Ting Wu, Milica Zdravković, Dijana Milosavljević, Konstantin Köster, Olivier Guillon, Jyh‐Chiang Jiang, Payam Kaghazchi   +6 more
wiley   +1 more source

Logical Inference Framework for Experimental Design of Mechanical Characterization Procedures

Sensors, 2018
Optimizing an experimental design is a complex task when a model is required for indirect reconstruction of physical parameters from the sensor readings.
Guillermo Rus, Juan Melchor
doaj   +1 more source

Improvement in long-range streamflow forecasting accuracy using the Bayes' theorem

Hydrology Research, 2019
This study has developed a hydrologic forecasting system for correcting the systematic bias inherent in hydrologic simulations based on the Bayes' theorem. The observed climatology was used as prior information, and results of a linear regression model
S. B. Seo, Young-Oh Kim, Shinuk Kang, G. Chun   +3 more
semanticscholar   +1 more source

Quantum-correlation breaking channels, quantum conditional probability and Perron-Frobenius theory

, 2013
Using the quantum analog of conditional probability and classical Bayes theorem we discuss some aspects of quantum-classical and classical-classical channels in connection to the recent paper J. Korbicz, P. Horodecki, and R.
Albeverio, Asorey, Barnum, Briegel, Bruzda, Cerf, Choi, Chruściński, Dariusz Chruściński, de Pillis, Evans, Hirota, Holevo, Holevo, Horodecki, Jamiołkowski, Korbicz, Leifer, Leifer, Nielsen, Paulsen, Piani, Terhal   +22 more
core   +1 more source

Probabilistic Modeling for Prediction Errors to Enhance Balancing Market Participation of Photovoltaic Systems: Error Threshold Estimation, Multisite Aggregation, and Overloading Effects

Advanced Energy and Sustainability Research, EarlyView.
This study proposes a method to increase the value of solar power in balancing markets by managing prediction errors. The approach models prediction uncertainties and quantifies reserve requirements based on a probabilistic model. This enables the more reliable participation of photovoltaic plants in balancing markets across multiple sites, especially ...
Jindan Cui, Xue Fang, Takashi Oozeki, Yuzuru Ueda   +3 more
wiley   +1 more source

Implementation of mutual information and bayes theorem for classification microarray data

, 2018
Microarray Technology is one of technology which able to read the structure of gen. The analysis is important for this technology. It is for deciding which attribute is more important than the others.
Mahendra Dwifebri, Kurnia C Purbolaksono, Mohamad Syahrul Widiastuti, Mubarok, Firda Adiwijaya, Aminy Ma’ruf   +5 more
semanticscholar   +1 more source