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Cyber-Physical Systems Virtual Organization
Read-only archive of site from September 29, 2023.
CPS-VO
Boltzmann machines
biblio
Fraud Detection using Machine Learning and Deep Learning
Submitted by aekwall on Mon, 08/24/2020 - 12:37pm
credit card
Europe
Forestry
Credit cards
area under the ROC curve
Australian dataset
autoencoder
benchmark multiple machine learning methods
Boltzmann machines
cost of failure
financial data processing
data mining techniques
Deep belief networks
EU
European dataset
German dataset
k nearest neighbor
Matthews correlation coefficient
restricted boltzmann machine
security checks
pattern classification
Support vector machines
support vector machine
learning (artificial intelligence)
machine learning
Random Forest
Resiliency
pubcrawl
composability
deep learning
Data models
convolutional neural nets
deep learning methods
Data mining
convolutional neural networks
Artificial Neural Networks
belief networks
fraud
fraud detection
biblio
Nonlinear System Identification Method Based on Improved Deep Belief Network
Submitted by grigby1 on Wed, 03/06/2019 - 3:30pm
Mathematical model
Training
single crystal furnace
Silicon
shallow BP network
Scalability
Resiliency
resilience
pubcrawl
policy-based governance
parameters identification
nonlinear systems
nonlinear system identification method
nonlinear control systems
Metrics
belief networks
improved deep belief network
Human behavior
higher identification accuracy
Deep Belief Network
DBN
Data models
Crystals
CRBM
continuous restricted Boltzmann machine
Continuous Resricted Boltzmann Machine
composability
collaboration
Boltzmann machines
Biological neural networks
