Estimation of Uncertainty for Technology Evaluation Factors via Bayesian Neural Networks

Estimation of Uncertainty for Technology Evaluation Factors via Bayesian Neural Networks

In contemporary times, science-based technologies are needed for launching innovative products and services in the market. As technology-based management strategies are gaining importance, associated patents need to be comprehensively studied. Previous studies have proposed predictive models based o...

Full description

Bibliographic Details
Main Authors:	Juhyun Lee, Sangsung Park, Junseok Lee
Format:	Article
Language:	English
Published:	MDPI AG 2023-01-01
Series:	Axioms
Subjects:	technology evaluation uncertainty Bayesian neural network patent evaluation factor
Online Access:	https://www.mdpi.com/2075-1680/12/2/145

Similar Items

Technology Opportunity Analysis Based on Machine Learning
by: Junseok Lee, et al.
Published: (2022-12-01)

Improved Uncertainty Quantification for Neural Networks With Bayesian Last Layer
by: Felix Fiedler, et al.
Published: (2023-01-01)

Study on the Technology Trend Screening Framework Using Unsupervised Learning
by: Junseok Lee, et al.
Published: (2022-09-01)

Bayesian approach to evaluation of distance courses
by: Jonas Mockus, et al.
Published: (2014-12-01)

Bayesian Linear Seismic Inversion Integrating Uncertainty of Noise Level Estimation and Wavelet Extraction
by: Xiuwei Yang, et al.
Published: (2022-12-01)

Simple and Effective Way to Disambiguate and Standardize Patent Applicants Using an Attention Mechanism With Data Augmentation
by: Juhyun Lee, et al.
Published: (2023-01-01)

A Fast and Scalable Algorithm for Prior Art Search
by: Juhyun Lee, et al.
Published: (2022-01-01)

Bayesian Averaging Evaluation Method of Accelerated Degradation Testing Considering Model Uncertainty Based on Relative Entropy
by: Tianji Zou, et al.
Published: (2024-02-01)

Improving Performance and Quantifying Uncertainty of Body-Rocking Detection Using Bayesian Neural Networks
by: Rafael Luiz da Silva, et al.
Published: (2022-07-01)

Sparse Bayesian Neural Networks: Bridging Model and Parameter Uncertainty through Scalable Variational Inference
by: Aliaksandr Hubin, et al.
Published: (2024-03-01)

Productioon uncertainties modelling by Bayesian inference using Gibbs sampling
by: Azizi, Amir, et al.
Published: (2015-11-01)

Quantifying Uncertainties in OC-SMART Ocean Color Retrievals: A Bayesian Inversion Algorithm
by: Elliot Pachniak, et al.
Published: (2023-06-01)

Nonlinear modeling with confidence estimation using Bayesian neural networks
by: A.T.C. Goh, et al.
Published: (2004-01-01)

Uncertainty Estimation of Pedestrian Future Trajectory Using Bayesian Approximation
by: Anshul Nayak, et al.
Published: (2022-01-01)

Bayesian U-Net: Estimating Uncertainty in Semantic Segmentation of Earth Observation Images
by: Clément Dechesne, et al.
Published: (2021-09-01)

Uncertainty Assisted Robust Tuberculosis Identification With Bayesian Convolutional Neural Networks
by: Zain Ul Abideen, et al.
Published: (2020-01-01)

Enabling uncertainty estimation in neural networks through weight perturbation for improved Alzheimer's disease classification
by: Matteo Ferrante, et al.
Published: (2024-02-01)

Variational Bayesian Neural Network for Ensemble Flood Forecasting
by: Xiaoyan Zhan, et al.
Published: (2020-09-01)

Neural network ensembles and uncertainty estimation for predictions of inelastic mechanical deformation using a finite element method-neural network approach
by: Guy L. Bergel, et al.
Published: (2023-01-01)

Bayesian losses for homoscedastic aleatoric uncertainty modeling in pollen image detection
by: Natalia E. Khanzhina
Published: (2021-08-01)

Bayesian analysis and uncertainty in economic theory /
by: Cyert, Richard Michael, 1921-, et al.
Published: (1987)

Inferring the age and sex of ancient potters from fingerprint ridge densities: A data-driven, Bayesian mixture modelling approach
by: Andrew T. Burchill, et al.
Published: (2023-12-01)

Valuation of energy harvesting technologies — Insights for technology managers
by: Praveena Chandra, et al.
Published: (2022-11-01)

Sparsifying priors for Bayesian uncertainty quantification in model discovery
by: Seth M. Hirsh, et al.
Published: (2022-02-01)

Consideration of uncertainty in the design and use of harvest control rules
by: Yan Jiao, et al.
Published: (2010-06-01)

Looking at the posterior: accuracy and uncertainty of neural-network predictions
by: Hampus Linander, et al.
Published: (2023-01-01)

Patent Analysis Using Bayesian Data Analysis and Network Modeling
by: Sangsung Park, et al.
Published: (2022-01-01)

Winsorization for Robust Bayesian Neural Networks
by: Somya Sharma, et al.
Published: (2021-11-01)

Patent Data Analysis of Artificial Intelligence Using Bayesian Interval Estimation
by: Daiho Uhm, et al.
Published: (2020-01-01)

Uncertainty assessment in building energy performance with a simplified model
by: Titikpina Fally, et al.
Published: (2015-01-01)

Effectiveness Evaluation Method of Air-combat Based on Bayesian Networks
by: Wang Zehui, et al.
Published: (2018-02-01)

A BP Neural Network-Based Hierarchical Investment Risk Evaluation Method Considering the Uncertainty and Coupling for the Power Grid
by: Shujuan Chen, et al.
Published: (2020-01-01)

Bayesian Graph Convolutional Neural Networks via Tempered MCMC
by: Rohitash Chandra, et al.
Published: (2021-01-01)

Bayesian Neural Networks for Reversible Steganography
by: Ching-Chun Chang
Published: (2022-01-01)

Bayesian Inference for Correlations in the Presence of Measurement Error and Estimation Uncertainty
by: Dora Matzke, et al.
Published: (2017-10-01)

A Study on the Calibrated Confidence of Text Classification Using a Variational Bayes
by: Juhyun Lee, et al.
Published: (2022-09-01)

Stochastic Control for Bayesian Neural Network Training
by: Ludwig Winkler, et al.
Published: (2022-08-01)

Bayesian networks as a resilience tool for decision-making processes in uncertainty conditions
by: Federico Novi
Published: (2018-03-01)

Bayesian Model Averaging to Account for Model Uncertainty in Estimates of a Vaccine’s Effectiveness
by: Oliveira CR, et al.
Published: (2022-10-01)

Representing Uncertainty in Property Valuation Through a Bayesian Deep Learning Approach
by: Lee Changro, et al.
Published: (2020-12-01)