Similarity search methods are widely used as kernels in various data mining and machine learning applications including those in computational biology, web search/clustering. Near...
Despite advances in the application of automated statistical and machine learning techniques to system log and trace data there will always be a need for human analysis of machine...
generally meta-data, so that documents on any specific subject can be transparently retrieved. While quality control can in principle still rely on the traditional methods of peer-...
Web users display their preferences implicitly by navigating through a sequence of pages or by providing numeric ratings to some items. Web usage mining techniques are used to ext...
The paper presents approaches to the validation of optimizing compilers. The emphasis is on aggressive and architecture-targeted optimizations which try to obtain the highest perf...
Lenore D. Zuck, Amir Pnueli, Yi Fang, Benjamin Gol...