A Linear Primal-Dual Multi-Instance SVM for Big Data Classifications.
Lodewijk BrandLauren Zoe BakerCarla EllefsenJackson SargentHua WangPublished in: ICDM (2021)
Keyphrases
- big data
- primal dual
- multi instance
- linear programming
- interior point methods
- linear program
- convex optimization
- cloud computing
- multi class
- real valued
- quadratic programming
- multi label
- approximation algorithms
- binary classification
- data management
- social media
- convergence rate
- support vector
- data processing
- algorithm for linear programming
- business intelligence
- data analysis
- knowledge discovery
- support vector machine
- data warehousing
- knn
- training data
- machine learning
- semi supervised learning
- feature vectors
- special case
- kernel methods
- dimensionality reduction
- graph cuts
- reinforcement learning
- kernel function
- learning algorithm
- information processing
- database