A computationally efficient approach to local learning with kernel methods is presented. The Fast Local Kernel Support Vector Machine (FaLK-SVM) trains a set of local SVMs on redu...
The problem of scalable and robust distributed data storage has recently attracted a lot of attention. A common approach in the area of peer-to-peer systems has been to use a dist...
Data clustering methods have many applications in the area of data mining. Traditional clustering algorithms deal with quantitative or categorical data points. However, there exist...
Tadeusz Morzy, Marek Wojciechowski, Maciej Zakrzew...
One of the major problems in building large-scale distributed systems is to anticipate the performance of the eventual solution before it has been built. This problem is especiall...
Yan (Jenny) Liu, Ian Gorton, Anna Liu, Shiping Che...
Hot spots are a major obstacle to achieving scalability in the Internet. We have observed that the existence of hot spots in upload applications (whose examples include submission...
William C. Cheng, Cheng-Fu Chou, Leana Golubchik, ...