Prediction algorithms

biblio

An Improved Collaborative Filtering Recommendation Algorithm Based on Differential Privacy

Submitted by aekwall on Mon, 01/11/2021 - 12:40pm

gradient methods
ε-differential privacy
stochastic gradient descent algorithm
recommendation systems
recommendation accuracy loss
potential characteristic matrix
noise matrix factorization model
Netflix
MovieLens
differential privacy matrix factorization model
differential privacy constraint
collaborative filtering recommendation model
centralized recommendation
matrix factorization
Matrix decomposition
differential privacy protection
Scalability
Perturbation methods
recommender systems
privacy protection
differential privacy
Predictive models
software engineering
Stochastic processes
Prediction algorithms
privacy
collaborative filtering
composability
pubcrawl
Human behavior
Resiliency
data privacy

biblio

Comparing Explanations between Random Forests and Artificial Neural Networks

Submitted by grigby1 on Tue, 12/01/2020 - 1:02pm

learning algorithm
Vegetation
transparent structure
random forests
Radio frequency
pubcrawl
predictive performance
predictive accuracy
Prediction algorithms
neural nets
Artificial Intelligence
human trust
Human behavior
heuristic explanation method
Forestry
decision making processes
Decision Making
black boxes
Artificial Neural Networks

biblio

Research of Personalized Recommendation Algorithm Based on Trust and User's Interest

Submitted by grigby1 on Tue, 12/01/2020 - 12:36pm

pubcrawl
Videos
user interest
trustworthyness model
Trusted Computing
trust similarity
trust
sparse subspace clust algorithm
social networking (online)
robust trust
Robot Trust
Resiliency
resilience
recommender systems
Accuracy
Prediction algorithms
personalized recommendation algorithm
pattern clustering
online video site
Motion pictures
joint interest-content recommendation
Human Factors
Human behavior
History
filtering algorithms
collaboration
Clustering algorithms

biblio

Improving Cache Performance for Large-Scale Photo Stores via Heuristic Prefetching Scheme

Submitted by aekwall on Mon, 11/30/2020 - 11:03am

multitenant environment
cache stack
Caching Algorithm
caching policies
distributed photo caching architecture
distributed storage
heuristic prefetching scheme
high performance expectations
Internet-scale photo caching algorithms
large-scale photo stores
largest social network service company
cache performance
performance gap
photo service providers
photo storage
prefetcher
Prefetching
QQPhoto cache efficiency
QQPhoto workload
simple baseline algorithms
Internet-scale Computing Security
user experiences
Servers
Resiliency
Human behavior
pubcrawl
composability
social networking (online)
Metrics
internet
Prediction algorithms
image retrieval
Cloud Computing
China
cache storage
data centers
Sun
policy governance
access latency
advanced cache algorithms
backend network traffic
cache hit ratio

biblio

A Novel Personalized Recommendation Algorithm Based on Trust Relevancy Degree

Submitted by aekwall on Mon, 11/23/2020 - 10:39am

recommender systems
trust relevancy degree
Social trust
social network information
personalized recommendation technology
personalized recommendation
personal characteristics
novel personalized recommendation algorithm
matrix factorization
ecommerce
Dianping datasets
human trust
Human behavior
Matrix decomposition
electronic commerce
Trusted Computing
data sparsity
data science
collaboration
trust
Data mining
Filtering
Training
Prediction algorithms
internet
social networking (online)
Social network services
collaborative filtering
pubcrawl

biblio

Variational Encoder-Decoder Recurrent Neural Network (VED-RNN) for Anomaly Prediction in a Host Environment

Submitted by aekwall on Mon, 11/09/2020 - 12:20pm

Hidden Markov models
Information Reuse and Security
VED-RNN
variational encoder-decoder recurrent neural network
System-calls
system-call traces
sequence to sequence model
sequence to sequence
security tools
prediction model input data representation
HIDS
anomaly prediction
one-class classification
NIDS
security of data
Compositionality
Intrusion Detection Systems
Recurrent neural networks
recurrent neural nets
Predictive models
Anomaly Detection
Prediction algorithms
pattern classification
Decoding
pubcrawl
Resiliency
Classification algorithms

biblio

Behavioral malware analysis algorithm comparison

Submitted by aekwall on Mon, 10/26/2020 - 11:12am

tools
behavioral malware analysis
Sensitivity
Predictive Metrics
behavioral analysis
computer viruses
Malware Analysis
privacy
testing
computer security
Prediction algorithms
malware
Metrics
Algorithms
pubcrawl
Human behavior
Resiliency
machine learning
learning (artificial intelligence)
machine learning algorithms
malware detection

biblio

Collaborative Filtering Algorithm Based on Trust and Information Entropy

Submitted by grigby1 on Mon, 10/05/2020 - 1:10pm

Prediction algorithms
weighted information entropy
trust similarity
trust relationship
trust
time decay function
time decay
security
Scalability
robots
Resiliency
resilience
recommender systems
recommendation system
pubcrawl
collaboration
Pearson similarity
information entropy theory
information entropy
human trust
Human Factors
human computer interaction
Human behavior
filtering algorithms
Filtering
Entropy
computer theory
collaborative filtering algorithm
collaborative filtering

biblio

Security Analysis of Improved One-Time Pad Cryptography Using TRNG Key Generator

Submitted by grigby1 on Fri, 09/04/2020 - 2:38pm

frequency monobit
brute force attacks
TRNG key generator
trng
ryptography
Refining
random keys
PRNG
Prediction algorithms
OTP
one-time pad cryptography
one-time pad
information security analysis
Ciphers
Fisher-Yates shuffling algorithm
cipher text mapping
avalanche effect
random number generation
Brute Force Attack
policy-based governance
Human Factors
cryptographic algorithms
pubcrawl
Generators
encryption
Cryptography

biblio

Node Copying for Protection Against Graph Neural Network Topology Attacks

Submitted by aekwall on Mon, 08/17/2020 - 10:18am

Topology
similarity structure
semi-supervised learning
prediction capability
node copying
graph topology
graph neural network topology attacks
graph convolutional networks
graph based machine
downstream learning task
detection problem
deep learning models
corruption
attack graphs
graph connectivity
Predictive Metrics
security of data
adversarial attacks
network topology
network theory (graphs)
Training
Prediction algorithms
Neural networks
neural nets
Computational modeling
graph theory
composability
pubcrawl
Resiliency
learning (artificial intelligence)
Task Analysis

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Cyber-Physical Systems Virtual Organization

Read-only archive of site from September 29, 2023.

Prediction algorithms

An Improved Collaborative Filtering Recommendation Algorithm Based on Differential Privacy

Comparing Explanations between Random Forests and Artificial Neural Networks

Research of Personalized Recommendation Algorithm Based on Trust and User's Interest

Improving Cache Performance for Large-Scale Photo Stores via Heuristic Prefetching Scheme

A Novel Personalized Recommendation Algorithm Based on Trust Relevancy Degree

Variational Encoder-Decoder Recurrent Neural Network (VED-RNN) for Anomaly Prediction in a Host Environment

Behavioral malware analysis algorithm comparison

Collaborative Filtering Algorithm Based on Trust and Information Entropy

Security Analysis of Improved One-Time Pad Cryptography Using TRNG Key Generator

Node Copying for Protection Against Graph Neural Network Topology Attacks