This is the website of Machine Learning Lab, School of Computing, Soongsil University, Seoul, Korea. Our research focuses on development and practical implementation of machine learning technologies for diverse problem domains such as bioinformatics, ubiquitous computing, and robotics.
You've built a vibrant community of Family Guy enthusiasts. The SVD recommendation algorithm took your site to the next level by allowing you to leverage the implicit knowledge of your community. But now you're ready for the next iteration - you are about
Stochastic matrices are easy to get -- just normalize the rows. Doubly stochastic matrices require more work -- simply normalizing columns/rows will not converge may take few dozen iterations to converge. One approach that works is to do constrained optim
This introductory textbook on reinforcement learning is targeted toward engineers and scientists in artificial intelligence, operations research, neural networks, and control systems, and we hope it will also be of interest to psychologists and neuroscien
J. Neville, M. Rattigan, and D. Jensen. Proceedings of the Workshop on Learning Statistical Models from Relational Data, Eighteenth International Joint Conference on Artificial Intelligence, (2003)