Vulnerability Under Adversarial Machine Learning: Bias or Variance?
Hossein AboutalebiMohammad Javad ShafieeMichelle KargChristian ScharfenbergerAlexander WongPublished in: CoRR (2020)
Keyphrases
- machine learning
- bias variance analysis
- low variance
- variance reduction
- bias variance decomposition
- data mining
- knowledge acquisition
- text mining
- standard deviation
- inductive bias
- machine learning algorithms
- explanation based learning
- text classification
- learning problems
- machine learning methods
- unsupervised learning
- machine learning and data mining
- pattern recognition
- information extraction
- computational intelligence
- risk assessment
- computer science
- inductive learning
- monte carlo
- information retrieval
- correlation coefficient
- learning tasks
- computational biology
- supervised machine learning
- semi supervised learning
- statistical methods
- sample size
- learning systems
- real time
- knowledge discovery
- trade off
- training set
- support vector
- case study
- knowledge base
- computer vision
- artificial intelligence
- data sets