Large Scale Semi-Supervised Learning
- Analyzing large scale data sets (e.g 5,000,000 data points) on a laptop scale!
- No super-computer is needed!
- Tasks: Classification, Regression, Semi-Supervised Classification or Clustering.
Then feel free to consult with our papers and contact me in case of any further questions:
- S. Mehrkanoon, J. A. K. Suykens, "Scalable Semi-Supervised Kernel Spectral Learning using Random Fourier Features" , in Proc. of the IEEE Symposium Series on Computational Intelligence (SSCI-CIDM), Athens, Greece, Dec. 2016.
- S. Mehrkanoon, J. A. K. Suykens, "Large scale semi-supervised learning using KSC based model", in proc. of IEEE World Congress on Computational Intelligence (IEEE WCCI/IJCNN), Beijing, China, Jul. 2014, pp. 4152-4159.[PDF]
