—With the development of the Internet, the need of city 3D data is rising more and more, and the emphasis shifts from analysis to the sharing of city 3D data and information over...
We propose an integrated approach to interactive word-completion for users with linguistic disabilities in which semantic knowledge combines with n-gram probabilities to predict s...
Unsupervised discovery of latent representations, in addition to being useful for density modeling, visualisation and exploratory data analysis, is also increasingly important for...
Jasper Snoek, Ryan Prescott Adams, Hugo Larochelle
This paper describes the use of machine learning to improve the performance of natural language question answering systems. We present a model for improving story comprehension th...
The rate of occurrence of words is not uniform but varies from document to document. Despite this observation, parameters for conventional n-gram language models are usually deriv...