Envisioning a Robust, Scalable Metacognitive Architecture Built on Dimensionality Reduction.
Jason Bernardino AlonsoKenneth C. ArnoldCatherine HavasiPublished in: Metacognition for Robust Social Systems (2010)
Keyphrases
- dimensionality reduction
- software architecture
- scalable distributed
- structure preserving
- real time
- parameter free
- multiprocessor architecture
- partial occlusion
- learning strategies
- high dimensional data
- low dimensional
- principal component analysis
- highly scalable
- high dimensional
- pairwise
- nonlinear dimensionality reduction
- robust estimation
- network architecture
- learning experience
- highly efficient
- data representation
- principal components
- high dimensionality
- least squares
- management system
- feature space
- pattern recognition
- learning algorithm
- neural network