Question classification is very important for question answering. This paper presents our research work on automatic question classification through machine learning approaches. W...
Statistical learning methods are emerging as a valuable tool for decoding information from neural imaging data. The noisy signal and the limited number of training patterns that ar...
This paper reports on TaskTracer — a software system being designed to help highly multitasking knowledge workers rapidly locate, discover, and reuse past processes they used to...
Anton N. Dragunov, Thomas G. Dietterich, Kevin Joh...
The success of popular algorithms such as k-means clustering or nearest neighbor searches depend on the assumption that the underlying distance functions reflect domain-specific n...
This paper draws on the results of recent research into digital publishing in Latin America sponsored by the European Commission's ALFA programme. It outlines the growth in p...