This paper investigates the application of randomized algorithms for large scale SVM learning. The key contribution of the paper is to show that, by using ideas random projections...
We have implemented an incremental lexical acquisition mechanism that learns the meanings of previously unknown words from the context in which they appear, as a part of the proce...
Most connectionist research has focused on learning mappings from one space to another (eg. classification and regression). This paper introduces the more general task of learnin...
Map-reduce framework has received a significant attention and is being used for programming both large-scale clusters and multi-core systems. While the high productivity aspect of ...
Most database systems use ARIES-like logging and recovery scheme to recover from failures and guarantee transactional consistency. ARIES relies on the Write-Ahead Logging (WAL) pr...
Robin Dhamankar, Hanuma Kodavalla, Vishal Kathuria